Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning. The techniques of Soft Computing are used successfully nowadays in many domestic, commercial and industrial applications becoming a major research object in automatic control engineering. The present paper reviews the contents of Soft Computing, which include probabilistic and in particular Bayesian reasoning, fuzzy logic, artificial neural networks and genetic algorithms. These topics are complementary to each other and can be used simultaneously for solving complex real-life problems, which cannot or it is too difficult be modelled mathematically. The paper also explores the main techniques used in Soft Computing and discusses their advant...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
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 ...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
The book provides a sample of research on the innovative theory and applications of so...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Soft computing is an association of computing methodologies that includes fuzzy logic, neuro-computi...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
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 ...
AbstractSoft computing, as opposed to traditional computing, deals with approximate models and gives...
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
Soft Computing is the study of science of reasoning, thinking, analyzing and detecting that correlat...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algor...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to ...
The book provides a sample of research on the innovative theory and applications of so...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Soft computing is an association of computing methodologies that includes fuzzy logic, neuro-computi...
It is already a well-known fact that Soft Computing methods – such as fuzzy systems, neural networks...
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 ...