Advances in Neural Networks – ISNN 2019

1. Signal Processing, Industrial Application, and Data Generation

   1. Approximation of Edwards-Anderson Spin-Glass Model Density of States

      • Magomed Y. Malsagov, Iakov M. Karandashev, Boris V. Kryzhanovsky

      Pages 173-179

   2. Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis

      • Xiulin Wang, Chi Zhang, Tapani Ristaniemi, Fengyu Cong

      Pages 180-189

   3. Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis

      • Jesús Silva, Lissette Hernández, Noel Varela, Omar Bonerge Pineda Lezama, Jorge Tafur Cabrera, Bellanith Ruth Lucena León Castro et al.

      Pages 190-199

   4. Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles

      • Jesús Silva, Noel Varela, Omar Bonerge Pineda Lezama, Hugo Hernández-P, Jairo Martínez Ventura, Boris de la Hoz et al.

      Pages 200-209

   5. The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice

      • Jesús Silva, Noel Varela, Omar Bonerge Pineda Lezama, David Martínez Sierra, Jainer Enrique Molina Romero, John Anderson Virviescas Peña et al.

      Pages 210-221

   6. Application of Machine Learning Based Technique for High Impedance Fault Detection in Power Distribution Network

      • Katleho Moloi, Jaco Jordaan, Yskandar Hamam

      Pages 222-231

   7. Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study

      • Oleg Sudakov, Dmitri Koroteev, Boris Belozerov, Evgeny Burnaev

      Pages 232-241

   8. Efficient Reservoir Encoding Method for Near-Sensor Classification with Rate-Coding Based Spiking Convolutional Neural Networks

      • Xu Yang, Shuangming Yu, Liyuan Liu, Jian Liu, Nanjian Wu

      Pages 242-251

   9. Fault Diagnosis of Gas Turbine Fuel Systems Based on Improved SOM Neural Network

      • Zhe Chen, Yiyao Zhang, Hailei Gong, Xinyi Le, Yu Zheng

      Pages 252-265

   10. Power System Fault Detection and Classification Using Wavelet Transform and Artificial Neural Networks

       • Paul Malla, Will Coburn, Kevin Keegan, Xiao-Hua Yu

       Pages 266-272

   11. A New Diffusion Kalman Algorithm Dealing with Missing Data

       • Shuangyi Xiao, Nankun Mu, Feng Chen

       Pages 273-281

   12. Separability Method for Homogeneous Leaves Using Spectroscopic Imagery and Machine Learning Algorithms

       • Bolanle Tolulope Abe, Jaco Jordaan

       Pages 282-291

   13. Learning Ensembles of Anomaly Detectors on Synthetic Data

       • Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Evgeny Burnaev

       Pages 292-306

   14. Blind Noise Reduction for Speech Enhancement by Simulated Auditory Nerve Representations

       • Anton Yakovenko, Aleksandr Antropov, Galina Malykhina

       Pages 307-316

   15. Automatically Generate Hymns Using Variational Attention Models

       • Han K. Cao, Duyen T. Ly, Duy M. Nguyen, Binh T. Nguyen

       Pages 317-327

2. Image Recognition, Scene Understanding, and Video Analysis

   1. Front Matter

      Pages 329-329

      PDF

   2. Mixed-Norm Projection-Based Iterative Algorithm for Face Recognition

      • Qingshan Liu, Jiang Xiong, Shaofu Yang

      Pages 331-340

   3. Cross-Database Facial Expression Recognition with Domain Alignment and Compact Feature Learning

      • Lan Wang, Jianbo Su, Kejun Zhang

      Pages 341-350

   4. An Adaptive Chirplet Filter for Range Profiles Automatic Target Recognition

      • Yifei Li, Zunhua Guo

      Pages 351-360

   5. An Unsupervised Spiking Deep Neural Network for Object Recognition

      • Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang

      Pages 361-370

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019.

The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

 

• adaptive control systems
• artificial intelligence
• classification
• data mining
• estimation
• evolutionary algorithms
• genetic algorithms
• image processing
• image reconstruction
• image segmentation
• imaging systems
• learning algorithms
• linear matrix inequalities
• matrix algebra
• neural networks
• numerical methods
• process control
• signal detection
• signal processing
• Support Vector Machines (SVM)

• Dalian University of Technology, Dalian, China

  Huchuan Lu

• Sichuan University, Chengdu, China

  Huajin Tang

• Northeastern University, Shenyang, China

  Zhanshan Wang

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