This is the first of two papers providing a discourse on the understanding, usage, and
potential for application of artificial neural networks within civil engineering. The present …

This paper forms the second part of the series on application of artificial neural networks
(ANNs) in hydrology. The role of ANNs in various branches of hydrology has been examined …

A new neural network‐based multiobjective optimization of water quality management for
water pollution control and river basin planning is presented. Past research on water quality …

This article focuses on predefined time synchronization problem for a class of signal
switching neural networks with time-varying delays. In the network models, we not only …

With increase in the use of finite-element methods to characterize the workpiece behaviour
under different processing conditions in metal-forming operations, an effective means of …

Machine learning has undergone rapid growth in diversification and practicality, and the
repertoire of techniques has evolved and expanded. The aim of this book is to provide a …

The correct identification of the underlying mechanism of a failure is an important step in the
entire failure analysis process. This study investigates the performance of a hybrid case …

Nature has always been a source of inspiration. Over the last few decades, it has stimulated
many successful techniques, algorithms and computational applications for dealing with …

Artificial neural networks can provide improved computational efficiency relative to existing
methods when an algorithmic description of functional relationships is either totally …

This paper investigates the problem of dynamic output feedback control for a class of genetic
regulatory network systems. A novel event-triggered mechanism is proposed for the genetic …