Add to ORKGThis course explores soft computation from historical, theoretical, and application viewpoints. Soft computing methods to be considered include evolutionary computation, neural computation, fuzzy set theory, and approximate reasoning. Applications to problems in optimization, control, and classification will be presented
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
Included in Prentice Hall's MATLAB Curriculum Series, this text provides a comprehensive treatment o...
This course explores evolutionary computation from a historical, theoretical, and application viewpo...
Soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimizatio...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
This book reports on advanced theories and cutting-edge applications in the field of soft computing....
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
Included in Prentice Hall's MATLAB Curriculum Series, this text provides a comprehensive treatment o...
This course explores evolutionary computation from a historical, theoretical, and application viewpo...
Soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimizatio...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
This book reports on advanced theories and cutting-edge applications in the field of soft computing....
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The purpose of this article is about soft computing and its different methods for modeling phenomena...