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ORCIDISNN 2019: Moscow, Russia
- Huchuan Lu, Huajin Tang, Zhanshan Wang:
Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11554, Springer 2019, ISBN 978-3-030-22795-1
Learning System, Graph Model, and Adversarial Learning
- Wen Yu
, Xiaoou Li, Jesus Gonzalez:
Fast Training of Deep LSTM Networks. 3-10 - Anton Agafonov, Alexander Yumaganov:
Bus Arrival Time Prediction with LSTM Neural Network. 11-18 - Tatiana T. Kaverzneva, Galina F. Malykhina, Dmitriy A. Tarkhov:
From Differential Equations to Multilayer Neural Network Models. 19-27 - Isaac Chairez, Alexander S. Poznyak, Alexander V. Nazin, Tatyana Poznyak:
Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique. 28-38 - Kechuan Wu, Xiaoping Wang, Mian Li:
Better Performance of Memristive Convolutional Neural Network Due to Stochastic Memristors. 39-47 - Ling Yu, Zhen Zhang, Xuetao Xie, Hua Chen, Jian Wang:
Unsupervised Feature Selection Using RBF Autoencoder. 48-57 - Xingjian Chen, Jianbo Su, Jun Zhang:
A Two-Teacher Framework for Knowledge Distillation. 58-66 - Yuriy S. Fedorenko, Valeriy M. Chernenkiy, Yuriy E. Gapanyuk:
The Neural Network for Online Learning Task Without Manual Feature Extraction. 67-76 - Zhe Qiu, Xiaodong Gu:
Graph Convolution and Self Attention Based Non-maximum Suppression. 77-86 - Xu Jiang, Xiaohong Ma:
Dynamic Graph CNN with Attention Module for 3D Hand Pose Estimation. 87-96 - Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for Image Semantic Segmentation. 97-105 - Yaoman Li, Irwin King:
Architecture Search for Image Inpainting. 106-115 - Chunyan Lu, Shukai Duan, Lidan Wang:
An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters. 116-123 - Bixiao Meng, Baomin Xu, Erjing Zhou, Shuangyuan Yu, Hongfeng Yin:
Bidirectional Gated Recurrent Unit Networks for Relation Classification with Multiple Attentions and Semantic Information. 124-132 - Vasiliy Osipov, Viktor Nikiforov:
Functional and Structural Features of Recurrent Neural Networks with Controlled Elements. 133-140 - Yun Luo, Li-Zhen Zhu, Bao-Liang Lu:
A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. 141-150 - Shuailong Lian, Hejian Zhou, Yi Sun:
FG-SRGAN: A Feature-Guided Super-Resolution Generative Adversarial Network for Unpaired Image Super-Resolution. 151-161
Time Series Analysis, Dynamic Prediction, and Uncertain Estimation
- Ryotaro Miura, Lukás Pichl, Taisei Kaizoji:
Artificial Neural Networks for Realized Volatility Prediction in Cryptocurrency Time Series. 165-172 - Sebastián Basterrech:
Pattern Matching in Sequential Data Using Reservoir Projections. 173-183 - Ping Jiang, Jiejie Chen, Zhigang Zeng:
Multi Step Prediction of Landslide Displacement Time Series Based on Extended Kalman Filter and Back Propagation Trough Time. 184-193 - Mikhail S. Tarkov:
Noise Filtering in Cellular Neural Networks. 194-201 - Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan:
Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space. 202-212 - Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. 213-222 - Xiaochen Lai, Xia Wu, Liyong Zhang, Genglin Zhang:
Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values. 223-231 - Di Liu, Wenwu Yu, Simone Baldi:
Broad Learning for Optimal Short-Term Traffic Flow Prediction. 232-239 - Lihua Zhou, Minrui Fei, Dajun Du, Wenting Li, Huosheng Hu, Aleksandar Rakic:
A Novel QGA-UKF Algorithm for Dynamic State Estimation of Power System. 240-250 - Guoqiang Tan, Jidong Wang, Zhanshan Wang, Xiaolong Qian:
An Improved Result on H∞ Performance State Estimation of Delayed Static Neural Networks. 251-260 - Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov:
Uncertainty Estimation via Stochastic Batch Normalization. 261-269 - Chunliang Gou, Xing He, Junjian Huang:
A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid. 270-277 - Zhongting Jiang, Dong Wang, Jin Sun, Hengyue Shi, Huijie Shang, Yuehui Chen:
Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model. 278-287 - Weidong Guan, Dengwei Yan, Lidan Wang, Shukai Duan:
A New Complex Hyper-chaotic System and Chaotic Synchronization of Error Feedback with Disturbance. 288-296
Model Optimization, Bayesian Learning, and Clustering
- Ninglei Fan, Yuping Wang, Junhua Liu, Yiu-ming Cheung:
A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization. 299-308 - Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer, Iakov Korovin:
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. 309-317 - Man-Fai Leung, Jun Wang:
A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection. 318-327 - Junhui Mei, Xinyi Le, Xiaoting Zhang, Charlie C. L. Wang:
A Learning-Based Approach for Perceptual Models of Preference. 328-339 - Zaur M. Shibzukhov:
Resistant Neural Network Learning via Resistant Empirical Risk Minimization. 340-350 - Tingting Liu, Chuyi Song, Jingqing Jiang:
Robotic Path Planning Based on Improved Ant Colony Algorithm. 351-358 - Jesús Silva, Noel Varela, Hugo Martínez Caraballo, Jesús García Guiliany, Luis Cabas Vásquez, Jorge Navarro Beltrán, Nadia León Castro:
An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks. 359-369 - Mikhail Iu. Leontev, Alexander Mikheev, Kirill Sviatov, Sergey V. Sukhov:
Overcoming Catastrophic Interference with Bayesian Learning and Stochastic Langevin Dynamics. 370-378 - Hong Zhao, Zhi-Hui Zhan, Wei-Neng Chen, Xiaonan Luo, Tianlong Gu, Ren-Chu Guan, Lan Huang, Jun Zhang:
An Improved Selection Operator for Multi-objective Optimization. 379-388 - Yan Zhou, Yaochu Jin, Jinliang Ding:
Evolutionary Optimization of Liquid State Machines for Robust Learning. 389-398 - Jia-Xing Yang, Xiao-Feng Gong, Gui-Chen Yu:
An Algebraic Algorithm for Joint Independent Subspace Analysis. 399-408 - Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev:
MaxEntropy Pursuit Variational Inference. 409-417 - Manish Aggarwal, Madasu Hanmandlu:
Moderated Information Sets. 418-425 - Katsiaryna Krasnashchok, Aymen Cherif:
Coherence Regularization for Neural Topic Models. 426-433 - Kanghao Du, Ruizhuo Song, Qinglai Wei, Bo Zhao:
A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information. 434-443 - Xin Song, Shizhen Qin, Shaokai Niu, Yan Wang:
ACPJS: An Anti-noise Concept Drift Processing Algorithm Based on JS-divergence. 444-453 - Hangjun Che, Jun Wang, Wei Zhang:
A Collaborative Neurodynamic Approach to Sparse Coding. 454-462 - Chunying Cheng, Chunhua Bao:
A Kernel Fuzzy C-means Clustering Algorithm Based on Firefly Algorithm. 463-468 - Eduardo C. Simões, Francisco de A. T. de Carvalho:
A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data. 469-477
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