Mathematical Problems in Engineering

Dynamics of Neural Networks and Applications in Optimization


Publishing date
16 May 2014
Status
Published
Submission deadline
27 Dec 2013

Lead Editor

1College of Science, Yanshan University, Qinhuangdao 066004, China

2Department of Mathematics, Harbin Institute of Technology, Harbin 150001, China

3Department of Basic Science, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, China

4Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi, Tamil Nadu 630 004, India


Dynamics of Neural Networks and Applications in Optimization

Description

In recent years, neural networks have been a subject of intense research activities due to their wide applications in different areas such as image processing, pattern recognition, associative memory, and combinational optimization. In practical engineering applications, it is crucial to be able to completely characterize the dynamical properties of neural networks via mathematical methods. Hence, the mathematics processing for the nonlinear dynamics of neural networks still possesses new challenges for researchers in the area.

The neural network approach has become an important mean to provide real-time solutions to some optimization problems, especially for large-scale problems. Compared with the classical optimization approaches, the prominent advantage of neural computing is that it can converge to the optimal solution rapidly, and this advantage motivates researchers to propose an efficient algorithm, which is based on the neural network approach for nonlinear programming problems.

The purpose of this special issue is to provide an opportunity for scientists, engineers, and practitioners to propose their latest theoretical and technological achievements in the analysis of nonlinear dynamics of neural networks and applications in solving optimization. All the submissions are expected to have original ideas and new approaches. Papers presenting newly emerging fields are especially welcome. Potential topics include, but are not limited to:

  • Equilibrium analysis and state estimation of neural networks
  • Periodic solution, antiperiodic solution, almost periodic solution, and pseudo-almost periodic solution of neutral-type neural networks
  • Impulsive control of stochastic neural networks and fuzzy neural networks
  • Dynamical analysis of high-order neural networks
  • Synchronization, quasisynchronization, and antisynchronization of nonlinear coupled neural networks
  • Solving optimization problems arising in economy, society, and engineering via nonlinear neural networks

Before submission, authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/dnn/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 787102
  • - Editorial

Dynamics of Neural Networks and Applications in Optimization

Huaiqin Wu | Wei Bian | ... | Ramachandran Raja
  • Special Issue
  • - Volume 2014
  • - Article ID 649012
  • - Research Article

A Class of Vector Lyapunov Functions for Stability Analysis of Nonlinear Impulsive Differential Systems

Zhang Qunli
  • Special Issue
  • - Volume 2014
  • - Article ID 906439
  • - Research Article

State Estimation for Discrete-Time Fuzzy Cellular Neural Networks with Mixed Time Delays

Lijie Geng | Haiying Li | ... | Guang Su
  • Special Issue
  • - Volume 2014
  • - Article ID 705323
  • - Research Article

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Yingwei Li | Jing Gao | ... | Ronghua Xie
  • Special Issue
  • - Volume 2014
  • - Article ID 502362
  • - Research Article

Parameter Sensitivity Analysis on Deformation of Composite Soil-Nailed Wall Using Artificial Neural Networks and Orthogonal Experiment

Jianbin Hao | Banqiao Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 824765
  • - Research Article

A Novel Improved ELM Algorithm for a Real Industrial Application

Hai-Gang Zhang | Sen Zhang | Yi-Xin Yin
  • Special Issue
  • - Volume 2014
  • - Article ID 681259
  • - Research Article

D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process

Shu-zhi Gao | Jing Yang | Jie-sheng Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 107620
  • - Research Article

Neural Network for Sparse Reconstruction

Qingfa Li | Yaqiu Liu | Liangkuan Zhu
  • Special Issue
  • - Volume 2014
  • - Article ID 913897
  • - Research Article

Adaptive Linear and Normalized Combination of Radial Basis Function Networks for Function Approximation and Regression

Yunfeng Wu | Xin Luo | ... | Sin Chun Ng
  • Special Issue
  • - Volume 2014
  • - Article ID 517605
  • - Research Article

A PLS-Based Weighted Artificial Neural Network Approach for Alpha Radioactivity Prediction inside Contaminated Pipes

Xianguo Tuo | Mingzhe Liu | ... | Yi Cheng
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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