Titlebook: Soft Computing Applications in Industry; Bhanu Prasad Book 2008 Springer-Verlag Berlin Heidelberg 2008 Markov.Markov model.Statistica.algo

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Badger

Negative Selection Algorithm with Applications in Motor Fault Detection,al. 2003). Artificial Immune Systems (AIS), inspired by the natural immune systems, are an emerging kind of soft computing methods (de Castro and Timmis 2002). With the distinguishing features of pattern recognition, data analysis, and machine learning, the AIS have recently gained considerable rese

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Harmony Search Applications in Industry,d..The HS algorithm (Geem et al 2001) mimics the behaviors of musicians improvising to find a fantastic harmony in terms of aesthetics. Similarly, the optimization process seeks a superior vector in terms of objective function. This is the core analogy between improvisation and optimization in the H

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ANTH

Glowworm Swarm Optimization Algorithm for Hazard Sensing in Ubiquitous Environments Using Heterogen could be either stationary or mobile (or an assortment of both), in order to service certain human- generated or needed tasks. Mark Weiser introduced ubiquitous computing, in its current form, in 1988 at the Computer Science Lab at Xerox PARC and wrote some of the earliest papers on ubiquitous comp

COMMA

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Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier, the computing model of a special class of sparse network referred to as cellular automata (CA). A particular class of CA referred to as multiple attractor CA (MACA) has been projected as a classifier of faulty response-pattern of a circuit. The genetic algorithm (GA) is employed to synthesize the d

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Banquet

Software Development Knowledge Management Using Case-Based Reasoning, enable its reuse in future projects. Knowledge reuse in the domain of software development has several advantages: it improves productivity and quality of software systems (Coulange 1997, Gamma et al. 1995, Jacobson et al. 1997, Meyer 1987, Prieto-Diaz 1993); it minimizes the loss of know-how when