Neural networks and genetic algorithms are the two sophisticated machine learning
techniques presently attracting attention from scientists, engineers, and statisticians, among …

Providing a thorough introduction to the field of soft computing techniques, Intelligent
Systems: Modeling, Optimization, and Control covers every major technique in artificial …

In this paper, a soft computing method, based on a recurrent self-organizing neural network
(RSONN) is proposed for predicting the sludge volume index (SVI) in the wastewater …

Water salinity is a key physical parameter that affects water quality, growth, and
development of the aquatic vegetation and animals. The salinity of Karun River has been …

The present paper deals with the development and optimization of a stacked neural network
(SNN) through an evolutionary hyper-heuristic, called NSGA-II-QNSNN. The proposed hyper …

The application of neural networks to solve a problem involves tasks with a high
computational cost until a suitable network is found, and these tasks mainly involve the …

A novel model called Instinct Plasticity Echo State Network with New Weights Selection
Method, which is Optimized by Genetic Algorithm, is proposed (IP-NESN-GA). There are …

Today all governments talk about climate change and its consequences. One of the ways to
tackle this problem is by studying the energy consumption of the buildings around us. The …

This paper addresses the problem of singularity avoidance for a 4-Control Moment
Gyroscope (CMG) pyramid cluster, as used for the attitude control of a satellite using …

In association rule mining, the process of extracting relations from a dataset often requires
the application of more than one quality measure and, in many cases, such measures …