Topic
Soft computing
About: Soft computing is a research topic. Over the lifetime, 6710 publications have been published within this topic receiving 118508 citations.
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TL;DR: It is observed that soft computing techniques can be used for constructing accurate models for prediction of software maintenance effort and Adaptive Neuro Fuzzy Inference System technique gives the most accurate model.
Abstract: The relationship between object oriented metrics and software maintenance effort is complex and non-linear. Therefore, there is considerable research interest in development and application of sophisticated techniques which can be used to construct models for predicting software maintenance effort. The aim of this paper is to evaluate and compare the application of different soft computing techniques – Artificial Neural Networks, Fuzzy Inference Systems and Adaptive Neuro-Fuzzy Inference Systems to construct models for prediction of Software Maintenance Effort. The maintenance effort data of two commercial software products is used in this study. The dependent variable in our study is maintenance effort. The independent variables are eight Object Oriented metrics . It is observed that soft computing techniques can be used for constructing accurate models for prediction of software maintenance effort and Adaptive Neuro Fuzzy Inference System technique gives the most accurate model.
56 citations
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26 Jan 2014TL;DR: This paper presents a meta-theoretical and ComputationalPrinciples of Computational Mechanics, aPrincipled Approach to Structural Optimization, and Selected Soft Computing Tools, a Practical Guide to Optimization.
Abstract: Preface. Part I: Introduction. Problem Description. 1. Direct and Inverse Problems. Part II: Theoretical and Computational Tools. 2. Computational Mechanics. 3. Computational and Structural Optimization. 4. Selected Soft Computing Tools. Part III: Applications to Inverse Problems. 5. Static Problems. 6. Steady-State Dynamics. 7. Transient Dynamics. References.
56 citations
TL;DR: This study proposes a model-based robust fault detection and isolation (RFDI) method with hybrid structure that was tested on a single-shaft industrial gas turbine prototype model and has been evaluated based on the gas turbine data.
56 citations
10 Oct 2008
TL;DR: It's important for you to start having that hobby that will lead you to join in better concept of life, and reading will be a positive activity to do every time.
Abstract: soft computing for hybrid intelligent systems What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our friends become fans of soft computing for hybrid intelligent systems as the best book to read? Yeah, it's neither an obligation nor order. It is the referred book that will not make you feel disappointed.
56 citations