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IEEE Transactions on Neural Networks and Learning Systems

短名	IEEE Trans. Neural Netw. Learning Syst.
Journal Impact	10.11
国际分区	ENGINEERING, ELECTRICAL & ELECTRONIC(Q1)
期刊索引	SCI Q1中科院 1 区

ISSN	2162-237X, 2162-2388
h-index	251
国内分区	计算机科学(1区)计算机科学计算机硬件(1区)计算机科学计算机理论方法(1区)计算机科学计算机人工智能(2区)计算机科学工程电子与电气(2区)
Top期刊	是

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 发表了涉及神经网络和相关学习系统的理论、设计和应用的技术文章。

期刊主页投稿网址

涉及主题	计算机科学人工智能机器学习数学物理工程类人工神经网络量子力学经济心理学统计生物哲学算法程序设计语言管理数学分析认知心理学模式识别（心理学）组合数学控制（管理）语言学
出版信息	出版商: IEEE Computational Intelligence Society，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2012，原创研究文献占比: 99.25%，自引率:12.70%， Gold OA占比: 4.86%
平均审稿周期	网友分享经验：一般,3-8周

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Guest Editorial: Special Issue on Graph Learning

2024-9-1

IEEE Transactions on Neural Networks and Learning Systems Publication Information

2024-9-1

IEEE Transactions on Neural Networks and Learning Systems Information for Authors

2024-9-1

IEEE Computational Intelligence Society Information

2024-9-1

2024-8-1

IEEE Computational Intelligence Society Information

2024-8-1

IEEE Transactions on Neural Networks and Learning Systems Information for Authors

2024-8-1

IEEE Transactions on Neural Networks and Learning Systems Publication Information

2024-8-1

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

2024-7-1

Dynamic-Horizon Model-Based Value Estimation With Latent Imagination

2024-7-1

Covert Task Embedding: Turning a DNN Into an Insider Agent Leaking Out Private Information

2024-7-1

Mitigating Modality Discrepancies for RGB-T Semantic Segmentation

2024-7-1

PMSGAN: Parallel Multistage GANs for Face Image Translation

2024-7-1

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks

2024-7-1

GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation

2024-7-1

Webly Supervised Knowledge-Embedded Model for Visual Reasoning

2024-7-1

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering

2024-7-1

Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering

2024-7-1

Measuring Disentanglement: A Review of Metrics

2024-7-1

Quasi-Synchronization of Discrete-Time-Delayed Heterogeneous-Coupled Neural Networks via Hybrid Impulsive Control

2024-7-1

Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation

2024-7-1

Robust and Effective: A Deep Matrix Factorization Framework for Classification

2024-7-1

End-to-End Multitask Learning With Vision Transformer

2024-7-1

HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation

2024-7-1

Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map

2024-7-1

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation

2024-7-1

LPOT: Locality-Preserving Gromov–Wasserstein Discrepancy for Nonrigid Point Set Registration

2024-7-1

Interpretable Graph Reservoir Computing With the Temporal Pattern Attention

2024-7-1

Fast Convergent Antinoise Dual Neural Network Controller With Adaptive Gain for Flexible Endoscope Robots

2024-7-1

Multiview Clustering With Propagating Information Bottleneck

2024-7-1

Novel Continuous-and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints

2024-7-1

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation

2024-7-1

Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding

2024-7-1

Distributed Multiagent Reinforcement Learning With Action Networks for Dynamic Economic Dispatch

2024-7-1

Perceptron Theory Can Predict the Accuracy of Neural Networks

2024-7-1

A Novel Learning-Based Trajectory Generation Strategy for a Quadrotor

2024-7-1

Self-Supervised Tracking via Target-Aware Data Synthesis

2024-7-1

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration

2024-7-1

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction

2024-7-1

Late Fusion Multiview Clustering via Min-Max Optimization

2024-7-1

Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications

2024-7-1

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem

2024-7-1

Hyperspectral Anomaly Detection Based on Adaptive Low-Rank Transformed Tensor

2024-7-1

Defocus Blur Detection Attack via Mutual-Referenced Feature Transfer

2024-7-1

Interaction-and-Response Network for Distantly Supervised Relation Extraction

2024-7-1

Enhanced Gradient for Differentiable Architecture Search

2024-7-1

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization

2024-7-1

Integrating Relational Knowledge With Text Sequences for Script Event Prediction

2024-7-1

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IEEE Transactions on Neural Networks and Learning Systems

期刊引文格式

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最新文章

Guest Editorial: Special Issue on Graph Learning

IEEE Transactions on Neural Networks and Learning Systems Publication Information

Table of Contents

IEEE Transactions on Neural Networks and Learning Systems Information for Authors

IEEE Computational Intelligence Society Information

Table of Contents

IEEE Computational Intelligence Society Information

IEEE Transactions on Neural Networks and Learning Systems Information for Authors

IEEE Transactions on Neural Networks and Learning Systems Publication Information

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

Dynamic-Horizon Model-Based Value Estimation With Latent Imagination

Covert Task Embedding: Turning a DNN Into an Insider Agent Leaking Out Private Information

Mitigating Modality Discrepancies for RGB-T Semantic Segmentation

PMSGAN: Parallel Multistage GANs for Face Image Translation

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks

GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation

Webly Supervised Knowledge-Embedded Model for Visual Reasoning

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering

Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering

Measuring Disentanglement: A Review of Metrics

Quasi-Synchronization of Discrete-Time-Delayed Heterogeneous-Coupled Neural Networks via Hybrid Impulsive Control

Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation

Robust and Effective: A Deep Matrix Factorization Framework for Classification

End-to-End Multitask Learning With Vision Transformer

HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation

Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation

LPOT: Locality-Preserving Gromov–Wasserstein Discrepancy for Nonrigid Point Set Registration

Interpretable Graph Reservoir Computing With the Temporal Pattern Attention

Fast Convergent Antinoise Dual Neural Network Controller With Adaptive Gain for Flexible Endoscope Robots

Multiview Clustering With Propagating Information Bottleneck

Novel Continuous-and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation

Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding

Table of Contents

Distributed Multiagent Reinforcement Learning With Action Networks for Dynamic Economic Dispatch

Perceptron Theory Can Predict the Accuracy of Neural Networks

A Novel Learning-Based Trajectory Generation Strategy for a Quadrotor

Self-Supervised Tracking via Target-Aware Data Synthesis

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction

Late Fusion Multiview Clustering via Min-Max Optimization

Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem

Hyperspectral Anomaly Detection Based on Adaptive Low-Rank Transformed Tensor

Defocus Blur Detection Attack via Mutual-Referenced Feature Transfer

Interaction-and-Response Network for Distantly Supervised Relation Extraction

Enhanced Gradient for Differentiable Architecture Search

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization

Integrating Relational Knowledge With Text Sequences for Script Event Prediction

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