类脑计算 · 全部实体（第 13 / 100 页）

本页收录第 1201–1300 条，共 10000 条 · 返回 类脑计算 首页

• Neural Network Unit Density: A Critical Biological Parameter
  crossref N. Azmy, J.-F. Vibert 2013-12-09T03:06:39Z 置信度 0.70
• Unsupervised learning for Boltzman Machines
  An unsupervised learning algorithm for a stochastic recurrent neural network based on the Boltzmann Machine architecture is formulated in this paper. The maximization of the mutual information between the stochastic output neurons and the clamped inputs is use…
  crossref Gustavo Deco, Lucas Parra 2015-08-18T16:04:47Z 置信度 0.70
• Regulating the nonlinear dynamics of olfactory cortex
  The dynamic behaviour of cortical structures can be changed significantly in character by different types of neuromodulators. We simulate such effects in a neural network model of the olfactory cortex and analyse the resulting nonlinear dynamics of this system…
  crossref Xiangbao Wu, Hans Liljenstrom 2002-08-25T02:35:54Z 置信度 0.70
• Evolving neurocontrollers for balancing an inverted pendulum
  This paper introduces an evolutionary algorithm that is tailored to generate recurrent neural networks functioning as nonlinear controllers. Network size and architecture, as well as network parameters like weights and bias terms, are developed simultaneously.…
  crossref F Pasemann 2015-08-18T16:04:53Z 置信度 0.70
• Convolution Neural Network Based Image Recognition
  The identification of an image is one thorny task in computer vision problems. Using the python programming language and a few other machine learning algorithms and python libraries, this image recognition and feature extraction can be achieved. In pattern- an…
  crossref Sofia Hamid, Mrigana Walia 2024-12-06T08:52:19Z 置信度 0.70
• An ETF Trading Decision Support System by Using Neural Network and Technical Indicators
  This paper proposed a neural network based decision support system (DSS) to provide investors with suggestions on transaction timing and transaction strategies of Taiwan 50 index exchange traded funds (ETF). Various indicators were employed with corresponding …
  crossref Chih-Lung Chen, Mu-Hsing Kuo 2008-07-18T15:34:22Z 置信度 0.70
• Controlling chaos with a neural network
  Chaotic situations may occur in complex systems as a normal operating mode or may accidentally be induced due to a change in some system parameter. The author reports one approach to the use of feedforward networks to dampen chaotic oscillations in Duffing's o…
  crossref T.W. Frison 2003-01-02T11:19:33Z 置信度 0.70
• Multilayer Performance Improvement of Feedforward Neural Networks
  crossref 2022-12-01T03:35:42Z 置信度 0.70
• An associative memory network for identifying mingling odors
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• Neural Network Based Detection of Melanoma Skin Cancer
  The sensitivity and specificity for diagnosis of melanoma achieved by neural network analysis of Raman spectra were 85% and 99%, respectively. We propose that neural network analysis of near-infrared Fourier transform Raman spectra could provide a novel method…
  crossref 2016-06-15T18:01:00Z 置信度 0.70
• A Neural Network based Technique for Automatic Classification of Road Cracks
  This paper presents a neural network based technique for the classification of segments of road images into cracks and normal images. The density and histogram features are extracted. The features are passed to a neural network for the classification of images…
  crossref J. Bray, B. Verma, Xue Li, W. He 2008-07-18T11:34:22Z 置信度 0.70
• The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction
  We develop a modified differential evolution algorithm that produces radial basis function neural network controllers for chaotic systems. This method requires few controlling variables. We examine the result of applying the proposed algorithm to time series p…
  crossref H. Dhahri, Adel.M. Alimi 2008-07-18T15:34:22Z 置信度 0.70
• Comparison on Zhang neural network and gradient neural network for time-varying linear matrix equation AXB = C solving
  For solving online the linear matrix equation AXB = C with time-varying coefficients, this paper presents a special kind of recurrent neural networks by using a design method recently proposed by Zhang et al. Compared with gradient neural networks (abbreviated…
  crossref Yunong Zhang, Ke Chen 2008-08-28T05:34:49Z 置信度 0.70
• Figure 3: Anomaly detection method based on multimodal neural network.
  crossref 2025-06-30T04:37:54Z 置信度 0.70
• Figure 9: Results of neural network training, iterations 2,001–4,000.
  crossref 2023-11-13T04:21:26Z 置信度 0.70
• Figure 7: Competitive neural network architecture used for data classification.
  crossref 2021-08-02T03:14:48Z 置信度 0.70
• NEURAL-NETWORK-BASED GENETIC ALGORITHM FOR OPTIMAL KITCHEN FAUCET STYLES
  Artificial neural networks (ANNs) are the models of choice in many data classification tasks.In this study, ANN classification models were used to explore user perceptions about kitchen faucet styles and investigate the relations between the overall preference…
  crossref Fehmi Burcin Ozsoydan, Celal Murat Kandemir, Ezgi Aktar Demirtas 2015-09-29T06:43:31Z 置信度 0.70
• Incremental Gain Analysis of Chaotic Recurrent Neural Network and Applications in Pattern Association
  Chaotic neural networks have been successfully applied in pattern association problems in many research. However there are few in-depth theoretical analysis for such networks, such as stability issues. In this paper, we propose a new type of chaotic recurrent …
  crossref Wu Yilei, Song Qing, Liu Sheng 2008-07-18T11:34:22Z 置信度 0.70
• Artificial Neural Network Model for Friction Stir Processing
  Abstract — Friction stir processing (FSP) is an effective means of refining grain size of aluminum alloys. An artificial neural network model (ANN) is made for predicting the grain size of alloys which are processed by FSP. The simulated results from the model…
  crossref Syed Muhammed Fahd 2015-12-24T10:45:10Z 置信度 0.70
• Gene Expression Dataset Classification Using Artificial Neural Network and Clustering-Based Feature Selection
  With the progression of bioinformatics, applications of GE profiles on cancer diagnosis along with classification have become an intriguing subject in the bioinformatics field. It holds numerous genes with few samples that make it arduous to examine and proces…
  crossref Audu Musa Mabu, Rajesh Prasad, Raghav Yadav 2021-09-17T11:47:50Z 置信度 0.70
• Neural Network
  crossref 2006-07-10T11:34:18Z 置信度 0.70
• DYAN-bicycleGAN
  With the rapid development of neural networks and computer vision, video prediction has become a topic of interest. Inspired by the GAN related image-to-image translation network, this work addresses the challenge by modeling the dynamic information in a video…
  crossref Huaiyu Zheng 2021-05-10T17:10:59Z 置信度 0.70
• Supervised classification on deep neural network attack toolchains
  Deep learning, while an important machine learning technique, is susceptible to adversarial example attacks. Adversarial examples generated by adding perturbations on clean images/video frames can lead to mis-predictions of deep neural networks. Moreover, deep…
  crossref Yize Li 2022-08-24T14:53:21Z 置信度 0.70
• Figure 4. Architecture of the developed artificial neural network models.
  crossref 2024-05-11T04:27:42Z 置信度 0.70
• Fig. 6. Cluster N 3 of the sensorimotor neural network
  crossref 2024-11-08T05:20:05Z 置信度 0.70
• Algorithm 1: Ant colony optimization with graph neural network embeddings.
  crossref 2026-01-09T08:00:28Z 置信度 0.70
• Modelling of memristor networks and the effective memristor
  crossref Anne-Men Huijzer, Arjan van der Schaft, Bart Besselink 2024-09-21T07:25:27Z 置信度 0.70
• Ionospheric single-station TEC short-term forecast using RBF neural network
  In this article a radial basis function (RBF) neural network improved by Gaussian mixture model is developed to be used for forecasting ionospheric 30 min total electron content (TEC) data given the merits of its nonlinear modeling capacity. In order to unders…
  crossref Z. Huang, H. Yuan 2014-03-21T22:24:52Z 置信度 0.70
• RBF Neural Network Control Based on Gradient Descent Algorithm
  crossref Jinkun Liu 2013-01-24T23:15:56Z 置信度 0.70
• In-Memory Computing with Non-volatile Memristor CAM Circuits
  crossref Catherine E. Graves, Can Li, Giacomo Pedretti, John Paul Strachan 2022-06-23T13:07:05Z 置信度 0.70
• Relaxation neural network for nonorthogonal image transforms
  crossref Daugman 2003-01-06T16:42:02Z 置信度 0.70
• Neural Networks and Adaptive Control: Neural Network Models
  crossref 2009-12-22T17:11:07Z 置信度 0.70
• Review for "The nonlinear autoregressive network with exogenous inputs (NARX) neural network to damp power system oscillations"
  Get your research seenMake an impact with these nine promotional tools. SEO• Use relevant keywords to make your title and abstract clear and easy to search for.• Off-page SEO strategies, like link building, can help get your paper seen. Conferences• Whether yo…
  crossref 2020-07-27T17:06:47Z 置信度 0.70
• Neural Network Black Box Approach to the Modeling and Control of Dynamical Systems
  crossref Yury V. Tiumentsev, Mikhail V. Egorchev 2019-06-21T15:36:10Z 置信度 0.70
• A comparative analysis of Feed-forward neural network & Recurrent Neural network to detect intrusion
  As computer networks are grows exponentially security in computer system has become a foremost issue. Monitoring atypical activity can be one way to detect any violation that impedes computer systems security. Existing methods like statistical models [12] for …
  crossref Nipa Chowdhury, Mohammod Abul kashem 2009-01-29T16:44:06Z 置信度 0.70
• Efficient stereo coding in the multiscale representation*
  crossref Zhaoping Li, Joseph Atick 2002-08-25T02:35:54Z 置信度 0.70
• Figure 5: The structure of the deep learning neural network.
  crossref 2024-03-25T03:05:55Z 置信度 0.70
• Neural Network Modeling of the Weather Prediction Task
  crossref Minjeong Kim 2022-09-07T22:15:25Z 置信度 0.70
• Table 4: Comparison of human and neural network annotation performance.
  crossref 2024-10-22T05:11:48Z 置信度 0.70
• Text Recognition using Multilayer Perceptron Neural Network
  This work focuses on development of an Offline Hand Written English Character Recognition algorithm based on Artificial Neural Network (ANN). The ANN implemented in this work has single output neuron which shows whether the tested character belongs to a partic…
  crossref Khushal Gupta 2024-12-07T08:13:46Z 置信度 0.70
• All-optical neural network with nonlinear activation functions
  991012994404403412 HKUST Electronic Theses All-optical neural network with nonlinear activation functions by Zuo Ying thesis 2021 1 online resource (xxiii, 130 pages) : illustrations (some color) Artificial neural networks (ANNs) have now been widely used for …
  crossref Ying Zuo 2022-02-16T21:38:45Z 置信度 0.70
• Neural Network Models
  crossref Philippe De Wilde 2013-06-11T00:02:07Z 置信度 0.70
• A Neural Network Approach to Dependent *Reliability Estimation.
  This research presents the creation of a new model for automating the generation of component and system reliability estimates from simulated field data for tightly coupled systems. The model utilizes the CMAC neural network architecture, which resembles the h…
  crossref Roya Javadpour 2022-06-13T21:35:52Z 置信度 0.70
• Figure 1: Artificial neural network architectures used for cancer classification.
  crossref 2020-04-13T06:23:21Z 置信度 0.70
• Exploiting network redundancy for low-cost neural network realizations
  A method is presented to optimize a trained neural network for physical realization styles. Target architectures are embedded microcontrollers or standard cell based ASIC designs. The approach exploits the redundancy in the network, required for successful tra…
  crossref H. Keegstra, W.J. Jansen, J.A.G. Nijhuis, L. Spaanenburg 等 2002-12-23T20:16:22Z 置信度 0.70
• Short-term Traffic Flow Prediction Based on Improved BP Neural Network Optimized by Grasshopper Optimization Algorithm
  crossref Dong Luo, Xiaoxue Guo 2024-08-03T10:41:34Z 置信度 0.70
• Segmentation of Breast Cancer Masses in Mammography Images Using Deep Convolutional Neural Network (DCNN)
  Abstract Mammography is one of the most important and effective ways to detect breast cancer, especially in the early stages of the disease. However, due to the complexity of breast tissue, the similarity between cancerous masses and natural tissues, the diffe…
  crossref Farnaz Hoseini, Abbas Mirzaei 2024-08-08T06:23:14Z 置信度 0.70
• Reliability-Based Design Optimization (Rbdo) Framework for High-Energy Laser Weapons (Helws) Using Artificial Neural Network Ensemble
  crossref Ungki Lee 2024-11-06T19:39:06Z 置信度 0.70
• Recurrent issues with deep neural network models of visual recognition
  Abstract Object recognition requires flexible and robust information processing, especially in view of the challenges posed by naturalistic visual settings. The ventral stream in visual cortex is provided with this robustness by its recurrent connectivity. Rec…
  crossref Tim Maniquet, Hans Op de Beeck, Andrea Ivan Costantino 2024-04-02T07:40:11Z 置信度 0.70
• Machine tool operating vibration prediction based on multi-sensor fusion and LSTM neural network
  In this study, a machine tool operating vibration prediction method based on multi-sensor fusion and long short-term memory (LSTM) network is proposed. Machine tool vibration has a significant impact on machining quality, workpiece surface roughness, dimension…
  crossref Zhonglou Shi, jinjie duan, faquan li 2024-07-16T12:36:12Z 置信度 0.70
• IRAM–NET model: image residual agnostics meta-learning-based network for rare de novo glioblastoma diagnosis
  crossref Kuljeet Singh, Deepti Malhotra 2024-08-28T19:02:09Z 置信度 0.70
• Multi-Scale Convolutional Neural Network Based Ear- Electroencephalograph Identity Recognition
  crossref Rongze Han 2024-12-11T22:21:58Z 置信度 0.70
• Multi-scale attention in attention neural network for single image deblurring
  crossref Ho Sub Lee, Sung In Cho 2024-10-19T20:11:53Z 置信度 0.70
• Odor pattern recognition of olfactory neural network based on neural energy
  crossref Zhen Wang, Ning Liu, Rubin Wang 2024-09-09T20:24:35Z 置信度 0.70
• Review for "IMPRESSION Generation 2 – Accurate, fast and generalised neural network model for predicting NMR parameters in place of DFT"
  crossref 2025-03-31T17:20:23Z 置信度 0.70
• STRUCTURAL OPTIMIZATION OF JET PUMP BASED ON BP NEURAL NETWORK
  With the increasing drilling depth, problems follow, such as the lifting height of the liquid in the well and increased pump operation. Therefore, improving the production efficiency of deep wells is a hot spot in the current oil drilling and production indust…
  crossref Bo Liu 2023-11-16T17:09:09Z 置信度 0.70
• Multi-path Hybrid Attention Deep Neural Network for Valve Detection
  Abstract Valves Detection is a basic function of rescue robots in various disaster situations. However, due to the small differences between similar valves, rescue robots suffer great challenges in valve detection in complex environments. To address this chall…
  crossref First Xuefeng Zhang, Second Yonghe Huang, Xiwen Qu 2024-07-12T10:36:57Z 置信度 0.70
• Medical Image Synthesis Algorithm Based on Vision Graph Neural Network with Manifold Matching
  crossref Xianhua Zeng, bowen lu, jian zhang 2024-05-01T13:20:57Z 置信度 0.70
• CryoNeFEN: High-resolution reconstruction of cryo-EM structures using neural field network
  Abstract The elucidation of three-dimensional (3D) structures is crucial to unraveling protein function and illuminating mechanisms in structural biology. Cryogenic electron microscopy (cryo-EM) single-particle analysis provides direct measurements to determin…
  crossref Manhua Liu, Yue Huang, Zhu Chengguang 2024-01-17T06:48:17Z 置信度 0.70
• SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
  This research addresses the pressing challenge of enhancing processing times and detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire detection, despite limited datasets. Proposing a Segmented Neural Network (SegNet) select…
  crossref Aditya V Jonnalagadda, Hashim A. Hashim 2024-04-01T09:17:32Z 置信度 0.70
• The Performance of Convolutional Neural Network Architecture in Classification
  crossref 2024-08-08T08:41:29Z 置信度 0.70
• Ensemble Rnn Deep Neural Network Methods for Time Series Forecasting Electrical Power Systems
  crossref hendri dwiputra, Busono Soerowirdjo, Rudi Irawan 2024-06-15T02:19:02Z 置信度 0.70
• Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach
  crossref Diego de Aguiar, Hugo França, Cassio Machiaveli Oishi 2024-04-16T17:18:13Z 置信度 0.70
• A Metaheuristic-Based Artificial Neural Network for Plastic Limit Analysis of Frames
  crossref Ali Kaveh 2024-07-29T06:01:41Z 置信度 0.70
• Uncertainty-Aware Hand Gesture Recognition Based on Fmcw Mimo Radar and Convolutional Neural Network
  crossref The Tuan Trinh, Minhhuy Le 2024-03-12T07:22:05Z 置信度 0.70
• Learning Path Recommendation Based on Deep Learning Based Vector Spacing Word Net Neural Network
  crossref Bhuvana Raja, Arun Prasad V 2024-06-18T15:47:46Z 置信度 0.70
• Study on Rop Prediction Based on Improved BP Neural Network Algorithm
  crossref Li Meng, xin liu, Xinyue Wang, Qingsong Wei 2024-04-27T18:18:24Z 置信度 0.70
• Review for "ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET images"
  crossref 2024-04-15T08:06:42Z 置信度 0.70
• Decision letter for "Optimizing Satellite-Based Latent Heating Rate Profiling Using a Convolutional Neural Network Heating (CNNH) Algorithm"
  crossref 2025-10-21T22:51:12Z 置信度 0.70
• Spatial-Temporal Attention Simple Graph Neural Network
  The growth of the autonomous driving industry in recent years has spurred research on intelligent transportation systems. However, predicting long-term traffic patterns is a complex task that can lead to overfitting and fluctuations in model predictions.To add…
  crossref Jiaxin Ai 2025-11-04T08:08:02Z 置信度 0.70
• F4D: Factorized 4D Convolutional Neural Network for Efficient Video-Level Representation Learning
  crossref Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra Bhandarkar 2024-02-29T05:30:53Z 置信度 0.70
• Generalization of neural network models for complex network dynamics
  crossref Vaiva Vasiliauskaite, Nino Antulov-Fantulin 2024-10-25T09:02:18Z 置信度 0.70
• Classification of Cervical Cancer using Artificial Neural Network
  crossref K. Shanthi, S. Manimekalai 2024-10-24T17:23:48Z 置信度 0.70
• Control of One-arm Robot Based on RBF Neural Network Model
  crossref Qinqin Dou 2024-07-29T19:06:05Z 置信度 0.70
• Air passenger carbon offset and carbon neutrality strategies: Implementation mechanism by convolutional neural network
  crossref Hongwei Zhou 2024-09-06T15:07:40Z 置信度 0.70
• Discrete Epidemic Models: Neural Network Approach
  crossref N Begashaw, Gurcan Comert, N. G Medhin 2025-01-19T04:07:23Z 置信度 0.70
• Hybrid Quantum-Classical Neural Network for Diagnosis of Autism Spectrum Disorder
  crossref Anthony Kim 2025-01-10T20:12:42Z 置信度 0.70
• Design of Neural Network-Based Smart City Security Monitoring System
  crossref Yao Yao 2024-08-01T14:26:06Z 置信度 0.70
• Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization
  crossref Zhenyu Guan, Xun Liang 2024-09-09T17:35:05Z 置信度 0.70
• High-speed Classification by Optical Information Processing Based on Diffractive Deep Neural Network
  High-speed processing of sub-millimeter-particle images by optical neural network is demonstrated. The apparatus processes light directly from samples flowing across the laser. >98% accuracy was achieved for the classification of different sizes of particle…
  crossref Shun Miura, Mamoru Otake, Hiroyuki Kusaka, Masahiro Kashiwagi 2024-09-05T16:13:11Z 置信度 0.70
• Prediction of Student Work Readiness Using Recurrent Neural Network
  crossref Vannes, Kemas Muslim Lhaksmana 2024-09-05T17:57:11Z 置信度 0.70
• Light Neural Network for Pipeline Segmentation on a Side-Scan Sonar Images
  crossref Konstanin Shilin, Alexander Pavin 2024-12-12T19:05:17Z 置信度 0.70
• On the Prediction of Tremor Dynamics Motion Using Neural Network
  Abstract Pathological tremors significantly affect the quality of life for patients worldwide. Rehabilitation exoskeletons serve as one of the solutions to alleviate these pathological tremors, and voluntary motion prediction-based motion planning has been emp…
  crossref Zijian Ding, Oumar Barry 2024-11-13T21:48:01Z 置信度 0.70
• A Neural Network Approach for Data Assimilation in Traffic Flow Management
  crossref Tyler Manderfield, Erik Vargo, Christine P. Taylor 2024-09-20T08:30:37Z 置信度 0.70
• Improved single target identification tracking algorithm based on IPSO-BP neural network
  Abstract Driven by deep learning techniques in recent years, single target recognition and tracking techniques have developed significantly, but face challenges of real-time and accuracy. In this study, an improved IPSO-BP network is formed by optimizing three…
  crossref Ting Xie 2024-02-27T15:06:53Z 置信度 0.70
• An Improved BP Neural Network Anomaly Detection Method
  crossref Long Zhang 2024-12-03T18:51:17Z 置信度 0.70
• Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement
  crossref Longbiao Cheng, Ashutosh Pandey, Buye Xu, Tobi Delbruck 等 2024-09-01T07:10:12Z 置信度 0.70
• Aberration Measurement from Crystalline Ronchigrams with an Attention Neural Network
  crossref Jingrui Wei, Paul M Voyles 2024-07-25T03:21:39Z 置信度 0.70
• Hydraconv: A Novel Graph Neural Network for Finite Element Emulation in Biomechanical Modeling
  crossref Igor A. P. Nobrega, Wenbin Mao 2024-11-21T19:12:31Z 置信度 0.70
• Hierarchical Physics-Informed Neural Network Framework for 3D Magnetic Modeling of Medium Frequency Transformers
  Neural Network (NN) technology is revolutionizing the modeling paradigm in the engineering arena, enhancing simultaneously model precision and process speed. Nevertheless, the deficiency of physical interpretability in current NN models causes an unattainable …
  crossref Xiao Yang, Liangcai Shu, Dongsheng Yang 2024-04-28T23:10:08Z 置信度 0.70
• Decision letter for "Optimizing Satellite-Based Latent Heating Rate Profiling Using a Convolutional Neural Network Heating (CNNH) Algorithm"
  crossref 2025-10-21T22:51:12Z 置信度 0.70
• Few-Shot Wind Power Prediction Using Sample Transfer and Imbalanced Evolved Neural Network
  crossref Hao Yin, Chen Li, Anbo Meng 2024-06-03T14:22:00Z 置信度 0.70
• Review for "Volt/VAr Regulation of the West Mediterranean Regional Electrical Grids Using SVC/STATCOM Devices With Neural Network Algorithms"
  crossref 2025-01-25T16:09:21Z 置信度 0.70
• Evolutionary Reinforcement Learning of Binary Neural Network Controllers for Pendulum Task—Part2: Genetic Algorithm
  Evolutionary algorithms and swarm intelligence algorithms find applicability in reinforcement learning of neural networks due to their independence from gradient-based methods. To achieve successful training of neural networks using these algorithms, careful c…
  crossref Hidehiko Okada 2024-06-17T09:05:08Z 置信度 0.70
• Review for "Scaled Physical Modelling of Floating Offshore Wind Turbines Using a Neural Network‐Based Surrogate Model for Aerodynamic Emulation"
  crossref 2025-10-01T00:12:43Z 置信度 0.70
• Neural network-based chatbot for providing information support to businesses from a cybersecurity perspective
  crossref 2025-01-30T19:02:03Z 置信度 0.70
• Lightweight Heterogeneous Convolutional Neural Network for Trash Classification
  crossref Tingrou Zhu 2024-04-08T20:33:34Z 置信度 0.70
• Physics-informed neural network-based control of power electronic converters
  crossref Subham Sahoo 2024-03-01T03:45:53Z 置信度 0.70
• Position-specific convolutional neural network to accurately match iris and periocular images
  crossref Ajay Kumar 2024-06-14T10:11:12Z 置信度 0.70
• Prediction Model of Residual Current Based on Grey Association and Neural Network
  crossref Guoyu Sun 2024-03-29T22:17:19Z 置信度 0.70