Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Soft Computing Methods

Handbook of Research on Trends and Digital Advances in Engineering Geology
The guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty, approximate, reasoning and partial truth in order to close resemblance with human like decision making. Soft Computing is the fusion of methodologies for example fuzzy logic, artificial neural networks, and genetic algorithms, support vector machine and relevance vector machine, etc.
Published in Chapter:
Prediction of The Uniaxial Compressive Strength of Rocks Materials
Nurcihan Ceryan (Balikesir University, Turkey) and Nuray Korkmaz Can (Istanbul University, Turkey)
DOI: 10.4018/978-1-5225-2709-1.ch002
Abstract
This study briefly will review determining UCS including direct and indirect methods including regression model soft computing techniques such as fuzzy interface system (FIS), artifical neural network (ANN) and least sqeares support vector machine (LS-SVM). These has advantages and disadvantages of these methods were discussed in term predicting UCS of rock material. In addition, the applicability and capability of non-linear regression, FIS, ANN and LS-SVM SVM models for predicting the UCS of the magnatic rocks from east Pondite, NE Turkey were examined. In these soft computing methods, porosity and P-durability secon index defined based on P-wave velocity and slake durability were used as input parameters. According to results of the study, the performanc of LS-SVM models is the best among these soft computing methods suggested in this study.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
A Review of Soft Computing Methods Application in Rock Mechanic Engineering
The guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty, approximate, reasoning and partial truth in order to close resemblance with human like decision making. Soft Computing is the fusion of methodologies, such as fuzzy logic, artificial neural networks, and genetic algorithms, support vector machine and relevance vector machine, etc.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR