Add to ORKGIncluded in Prentice Hall's MATLAB Curriculum Series, this text provides a comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations, and verifications of various applications in practice.
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition....
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
Soft computing, a concept introduced by Zadeh[30], is in essence modeled after the human mind. Numer...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
The book provides a sample of research on the innovative theory and applications of so...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimizatio...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
This course explores soft computation from historical, theoretical, and application viewpoints. Soft...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition....
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
Soft computing, a concept introduced by Zadeh[30], is in essence modeled after the human mind. Numer...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
The book provides a sample of research on the innovative theory and applications of so...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimizatio...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
This course explores soft computation from historical, theoretical, and application viewpoints. Soft...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition....
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
Soft computing, a concept introduced by Zadeh[30], is in essence modeled after the human mind. Numer...