Hong Qu

According to our database, Hong Qu authored at least 107 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spiking neural network analysis of MT-MST pathways in biological motion processing.

Yun Zhang, Ying Liu, Tingting Feng, Tao Zhang, Hong Qu, Yi Zhang

Neurocomputing, 2026

2025

A Neurodynamic-Diversity-Based Spiking Network Model for Text Classification.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu

IEEE Trans. Cogn. Dev. Syst., August, 2025

Retina-Inspired Lightweight Spiking Convolutional Neural Network for Single-Image Dehazing.

Ya Zhang, Xiaoling Luo, Qian Sun, Yuchen Wang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space.

Fan Li, Hong Qu, Liyan Zhang, Mingsheng Fu, Wenyu Chen, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Enhancing text understanding of decoder-based model by leveraging parameter-efficient fine-tuning method.

Wasif Feroze, Shaohuan Cheng, Elias Lemuye Jimale, Abdul Naveed Jakhro, Hong Qu

Neural Comput. Appl., March, 2025

Incremental model-based reinforcement learning with model constraint.

Zhiyou Yang, Mingsheng Fu, Hong Qu, Fan Li, Shuqing Shi, Wang Hu

Neural Networks, 2025

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Ying Liu, Xiaoling Luo, Ya Zhang, Yun Zhang, Wei Zhang, Hong Qu

Neural Networks, 2025

A fully value distributional deep reinforcement learning framework for multi-agent cooperation.

Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu

Neural Networks, 2025

Improving lightweight semi-supervised text classification via teacher intervention.

Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Hong Qu

Appl. Soft Comput., 2025

2024

Biologically Plausible Sparse Temporal Word Representations.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Dynamic training for handling textual label noise.

Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Li Zhou, Honglin Zhao, Weishan Kong, Hong Qu, Mingsheng Fu

Appl. Intell., November, 2024

Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.

Fan Li, Mingsheng Fu, Wenyu Chen, Fan Zhang, Haixian Zhang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., July, 2024

State Augmentation via Self-Supervision in Offline Multiagent Reinforcement Learning.

Siying Wang, Xiaodie Li, Hong Qu, Wenyu Chen

IEEE Trans. Cogn. Dev. Syst., June, 2024

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.

Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., May, 2024

ChainFrame: A Chain Framework for Point Cloud Classification.

Tianlei Wang, Mingsheng Fu, Keyu Chen, Fan Li, Hong Qu, Ma Luo

IEEE Trans. Ind. Informatics, March, 2024

A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks.

Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu

Neural Networks, 2024

Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation.

Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen

Knowl. Based Syst., 2024

SpikeFusionNet: A Hybrid Approach to Robotic Fault Diagnosis Using Spiking Neural Dynamics.

Ying Liu, Wei Zhang, Xiaoling Luo, Yun Zhang, Hong Qu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

MLPs Compass: What is Learned When MLPs are Combined with PLMs?

Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu

Proceedings of the IEEE International Conference on Acoustics, 2024

A Multiscale Resonant Spiking Neural Network for Music Classification.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.

Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

A biologically inspired auto-associative network with sparse temporal population coding.

Ya Zhang, Kexin Shi, Xiaoling Luo, Yi Chen, Yucheng Wang, Hong Qu

Neural Networks, September, 2023

Improving Readability for Automatic Speech Recognition Transcription.

Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning.

Zhiyou Yang, Hong Qu, Mingsheng Fu, Wang Hu, Yongze Zhao

IEEE Trans. Cybern., March, 2023

Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information.

Fan Li, Hong Qu, Mingsheng Fu, Liyan Zhang, Fan Zhang, Wenyu Chen, Ruixuan Sun, Haixian Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2023

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.

Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu

IEEE Trans. Ind. Informatics, 2023

DPGNN: Dual-perception graph neural network for representation learning.

Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu

Knowl. Based Syst., 2023

Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning.

Siying Wang, Wenyu Chen, Liwei Huang, Fan Zhang, Zhitong Zhao, Hong Qu

Knowl. Based Syst., 2023

Revisiting Graph Meaning Representations through Decoupling Contextual Representation Learning and Structural Information Propagation.

Li Zhou, Wenyu Chen, Dingyi Zeng, Hong Qu, Daniel Hershcovich

CoRR, 2023

CARLG: Leveraging Contextual Clues and Role Correlations for Improving Document-level Event Argument Extraction.

Wanlong Liu, Wenyu Chen, Dingyi Zeng, Li Zhou, Hong Qu

CoRR, 2023

An Empirical Perspective on Learning-to-rank.

Fan Li, Wenyu Chen, Zhiyou Yang, Mingsheng Fu, Yun Zhang, Hong Qu

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Rethinking Random Walk in Graph Representation Learning.

Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Textual Label Noise Learning based on Pre-trained Models.

Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A retina-inspired neural model for single image haze removal.

Yun Zhang, Qian Sun, Keyu Du, Hong Qu

Proceedings of the 6th International Conference on Algorithms, 2023

I2PN: Improved Image Projection Network for OCTA image segmentation.

Tianlei Wang, Hong Qu, Keyu Chen, Ma Luo, Chao Zhai, Bopeng Fang

Proceedings of the 6th International Conference on Algorithms, 2023

Substructure Aware Graph Neural Networks.

Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval.

Fan Zhang, Wenyu Chen, Mingsheng Fu, Fan Li, Hong Qu, Zhang Yi

IEEE Trans. Syst. Man Cybern. Syst., 2022

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.

Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Reinforcement Learning Framework for Category-Based Item Recommendation.

Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu

IEEE Trans. Cybern., 2022

Summarization With Self-Aware Context Selecting Mechanism.

Li Huang, Wenyu Chen, Yuguo Liu, Shuai Hou, Hong Qu

IEEE Trans. Cybern., 2022

Sequential multi-headed attention for entity-based relational neural networks.

Dagmawi Moges, Jiaxu Zhao, Hong Qu

Expert Syst. J. Knowl. Eng., 2022

Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning.

Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Document-Level Relation Extraction with Structure Enhanced Transformer Encoder.

Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu

Proceedings of the International Joint Conference on Neural Networks, 2022

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.

Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Simple Graph Neural Network via Layer Sniffer.

Dingyi Zeng, Li Zhou, Wanlong Liu, Hong Qu, Wenyu Chen

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Weakly supervised image classification and pointwise localization with graph convolutional networks.

Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao

Pattern Recognit., 2021

A new recursive least squares-based learning algorithm for spiking neurons.

Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li

Neural Networks, 2021

H∞ estimation for stochastic semi-Markovian switching CVNNs with missing measurements and mode-dependent delays.

Qiang Li, Jinling Liang, Hong Qu

Neural Networks, 2021

Spatial division networks for weakly supervised detection.

Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao

Neural Comput. Appl., 2021

Improving neural machine translation using gated state network and focal adaptive attention networtk.

Li Huang, Wenyu Chen, Yuguo Liu, He Zhang, Hong Qu

Neural Comput. Appl., 2021

A deep reinforcement learning based long-term recommender system.

Liwei Huang, Mingsheng Fu, Fan Li, Hong Qu, Yangjun Liu, Wenyu Chen

Knowl. Based Syst., 2021

The effect of coefficients on the continuous attractors in coupled Highway Neural Networks.

Wenshuang Chen, Jiali Yu, Zhang Yi, Hong Qu

Neurocomputing, 2021

A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems.

Liwei Huang, Mingsheng Fu, Hong Qu, Siying Wang, Shangqian Hu

Expert Syst. Appl., 2021

A Dual-Perception Graph Neural Network with Multi-hop Graph Generator.

Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Hong Qu

CoRR, 2021

Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network.

Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Perspective Reasoning Transformers.

Dagmawi Alemu Moges, Rubungo Andre Niyongabo, Hong Qu

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Accelerating Transformer for Neural Machine Translation.

Li Huang, Wenyu Chen, Hong Qu

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model.

Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng

Proceedings of the IEEE International Conference on Acoustics, 2021

Twin-GAN for Neural Machine Translation.

Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

An end-to-end functional spiking model for sequential feature learning.

Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu

Knowl. Based Syst., 2020

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.

Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li

IEEE J. Sel. Top. Signal Process., 2020

Supervised learning in spiking neural networks with synaptic delay-weight plasticity.

Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li

Neurocomputing, 2020

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks.

Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li

CoRR, 2020

WALLACE: Weakly Supervised Learning of Deep Convolutional Neural Networks With Multiscale Evidence.

Yongsheng Liu, Wenyu Chen, Hong Qu, Tianlei Wang, Jiangzhou Ji, Kebin Miao

IEEE Access, 2020

A Weighted GCN with Logical Adjacency Matrix for Relation Extraction.

Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.

Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.

Malu Zhang, Hong Qu, Ammar Belatreche, Yi Chen, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2019

A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System.

Mingsheng Fu, Hong Qu, Zhang Yi, Li Lu, Yongsheng Liu

IEEE Trans. Cybern., 2019

The maximum points-based supervised learning rule for spiking neural networks.

Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang

Soft Comput., 2019

Multi-source sequential knowledge regression by using transfer RNN units.

Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu

Neural Networks, 2019

An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images.

Lin Zuo, Wenyu Chen, Hong Qu, Li Huang, Zheng Wang, Yong Chen

IEEE Access, 2019

An Efficient Deep Learning Model to Infer User Demographic Information From Ratings.

Yongsheng Liu, Hong Qu, Wenyu Chen, S. M. Hasan Mahmud

IEEE Access, 2019

Mutual Constraint Learning for Weakly Supervised Object Detection.

Yongsheng Liu, Wenyu Chen, S. M. Hasan Mahmud, Hong Qu, Kebin Miao, Feng Wei, Ziliang Zhang

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Multi-Head Bidirectional Attention for MRC.

Dagmawi Moges, Hong Qu, Mingsheng Fu

Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019

2018

Subnormal Distribution Derived From Evolving Networks With Variable Elements.

Minyu Feng, Hong Qu, Zhang Yi, Jürgen Kurths

IEEE Trans. Cybern., 2018

EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons.

Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie

IEEE Trans. Cogn. Dev. Syst., 2018

Feedforward Computational Model for Pattern Recognition with Spiking neurons.

Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng

Int. J. Robotics Autom., 2018

Attention based collaborative filtering.

Mingsheng Fu, Hong Qu, Dagmawi Moges, Li Lu

Neurocomputing, 2018

Bag of meta-words: A novel method to represent document for the sentiment classification.

Mingsheng Fu, Hong Qu, Li Huang, Li Lu

Expert Syst. Appl., 2018

Deep Dilation on Multimodality Time Series for Human Activity Recognition.

Rui Xi, Ming Li, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu, Charles R. Haruna

IEEE Access, 2018

Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints.

Liwei Huang, Hong Qu, Lin Zuo

IEEE Access, 2018

Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments.

Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition.

Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A New Deep Neural Network Based Learning to Rank Method for Information Retrieval.

Mingsheng Fu, Hong Qu, Fan Li, Yanjun Liu

Proceedings of the IEEE International Conference on Information and Automation, 2018

2017

Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.

Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths

IEEE Trans. Neural Networks Learn. Syst., 2017

Supervised learning in spiking neural networks with noise-threshold.

Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths

Neurocomputing, 2017

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule.

Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang

Neurocomputing, 2017

AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling.

Xiaomin Zhang, Li Huang, Hong Qu

Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016

Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution.

Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths

IEEE Trans. Cybern., 2016

Shortest path computation using pulse-coupled neural networks with restricted autowave.

Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi

Knowl. Based Syst., 2016

2015

Computing k shortest paths from a source node to each other node.

Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji, Alexander Takacs

Soft Comput., 2015

Improved perception-based spiking neuron learning rule for real-time user authentication.

Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu

Neurocomputing, 2015

Computing k shortest paths using modified pulse-coupled neural network.

Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji

Neurocomputing, 2015

One-dimensional pairwise CNN for the global alignment of two DNA sequences.

Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu

Neurocomputing, 2015

2014

Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks.

Minyu Feng, Hong Qu, Zhang Yi

IEEE Trans. Circuits Syst. I Regul. Pap., 2014

Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks.

Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks.

Hong Qu, Zhang Yi, Simon X. Yang

IEEE Trans. Cybern., 2013

An Improved Search Algorithm Based on Path Compression for Complex Network.

Ye Yuan, Wenyu Chen, Minyu Feng, Hong Qu

Proceedings of the IEEE 11th International Conference on Dependable, 2013

2012

A novel neural network method for shortest path tree computation.

Hong Qu, Simon X. Yang, Zhang Yi, XiaoBin Wang

Appl. Soft Comput., 2012

2009

Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model.

Hong Qu, Simon X. Yang, Allan R. Willms, Zhang Yi

IEEE Trans. Neural Networks, 2009

A Winner-Take-All Neural Networks of <i>N</i> Linear Threshold Neurons without Self-Excitatory Connections.

Hong Qu, Zhang Yi, XiaoBin Wang

Neural Process. Lett., 2009

A modified pulse coupled neural network for shortest-path problem.

XiaoBin Wang, Hong Qu, Zhang Yi

Neurocomputing, 2009

2008

Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions.

Hong Qu, Zhang Yi, XiaoBin Wang

Neurocomputing, 2008

2006

Improving local minima of columnar competitive model for TSPs.

Hong Qu, Zhang Yi, Huajin Tang

IEEE Trans. Circuits Syst. I Regul. Pap., 2006

Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.

Hong Qu, Zhang Yi

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.

Hong Qu, Zhang Yi, XiaoLin Xiang

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005