Hybrid Signal Processing and Soft Computing approaches to Power System Frequency Estimation

Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing

The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The fundamental aim of the paper is to outline the importance of soft computing and hybrid AI techniques in manufacturing by introducing a genetic algo...

Software Cost Estimation using Soft Computing Approaches

Software development has become an important activity for many modern organizations (Pressman, 1997). In fact the quality, cost, and timeliness of developed software are often crucial determinants of an organization’s success. There are significant financial and strategic implications for development projects in terms of activity scheduling and cost estimation. Software cost estimation is one o...

Hybrid Soft Computing Approaches to Identification of Nonlinear Systems

This paper is concerned with the identification of nonlinear systems by utilizing of hybrid soft computing approaches. Based on the flexibly computational structure of the tree, a unified framework is constructed in which various soft computing models can be developed, evolved and evaluated. In this framework, the architecture of the hybrid soft computing models is created and evolved by using ...

Power System Harmonics Estimation using Signal Processing Techniques

This paper proves the effectiveness of Least Mean Square (LMS) estimation algorithm for estimation of power system harmonics, inter-harmonics and sub-harmonics of distorted signal. Accurate estimation can be achieved by this technique for harmonics, sub-harmonics and inter-harmonics estimation including possible variation in the signal such as change in amplitude when applied to a distorted pow...

Power Quality Disturbance Detection and Classification Using Signal Processing and Soft Computing Techniques