Special Issue on Protocol-Based Performance Analysis of Artificial Neural Networks and Their Applications
摘要截稿:
全文截稿: 2018-05-15
影响因子: 4.438
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:人工智能 - 2区
Overview
Recent years have seen a growing number of publications reporting on neural networks (NNs) due to their extensive applications in a broad range of areas such as, repetitive learning, classification of patterns, nonlinear control, adaptive control, image processing, and so forth. For real-world engineering, complex dynamics coming from multiplicative noises, data missing and communication delays are commonly unavoidable in various applications of NNs. These complex dynamics have a major impact on the dynamical behaviour and the precision of state estimation, and can be further regarded as a crucial source of negative effects such as periodic oscillation, divergence and even chaos. As such, to date, much research effort has been devoted to the dynamic performance analysis, and a variety of efficient approaches have been proposed in the published literature.
It is worth pointing out that the complex dynamics are much more than those already studied. Specially, frequent data communication is necessary for the application of NNs in networked engineering systems. Due to the limited channel bandwidth, various communication protocols are employed to orchestrate the transmission order of networked nodes to avoid data collisions. For instance, under the event-based protocols, the information processing is triggered when the changing degree of information or its derivatives break through the predetermined level. Unfortunately, applying communication protocols could lead to asynchronous coupling, periodic switches, accumulated delays, or unknown-but-bounded disturbances, and so forth. In this case, it would be interesting to examine 1) how communication protocols have substantial impacts on the dynamical behaviour, 2) how can engineers design the schemes of state estimation and synchronization control of coupled NNs, and 3) how can engineers implement the nonlinear control, adaptive control, or other engineering tasks based on NNs under various communication protocols. As such, protocol-based performance analysis of NNs has been attracting an ever increasing research interest.
Research on NNs under communication protocols has already become vitally important for control engineers, mathematicians, and computer scientists to analyze and interpret the complex dynamical behaviour of NNs, and effectively implement the NN-based engineering tasks. This special issue aims to bring the latest approaches to investigate NN its analogue under communication protocols in a quantitative way.
The list of possible topics includes, but is not limited to:
- Protocol-based state estimation of NNs
- Protocol-based synchronization analysis of coupled NNs
- Finite-time performance analysis and synthesis for NNs under communication protocols
- NN-based control under various communication protocols
- Protocol-based state estimation of complex networks
- Protocol-based synchronization analysis of complex networks
- Protocol-based distributed filtering of sensor networks