Abstract Due to the huge amount of data that has been processed in various business applications the role of data analysis has become important. Many statistical methods have been proposed that are analyzing data for such applications. But as soon as the size of the data increases the time required and efficiency of these methods reduces. In this paper I have reviewed three soft computing techniques namely ANN, Fuzzy Logic and Genetic Algorithm which have been used in various applications and proved to be better than the traditional statistical based techniques
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Intelligent data analysis (IDA) is an interdisciplinary study concerned with the effective analysis ...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Abstract: The paper is a survey of the computational intelligence methods and their application to t...
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...
<p>Data Mining is one of the fundamental steps in KDD process and is concerned with the algorithmic ...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
The present article provides a survey of the available literature on data mining using soft computin...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
The book provides a sample of research on the innovative theory and applications of so...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
This paper describes the potentials of the application of modern soft computing techniques into deve...
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Intelligent data analysis (IDA) is an interdisciplinary study concerned with the effective analysis ...
Soft Computing is a relatively new branch of Computer Science that deals with approximate reasoning....
Abstract: The paper is a survey of the computational intelligence methods and their application to t...
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...
<p>Data Mining is one of the fundamental steps in KDD process and is concerned with the algorithmic ...
Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for ...
The theoretical and practical developments of the theory of fuzzy logic and soft computing are surve...
The present article provides a survey of the available literature on data mining using soft computin...
The papers collected in this book are concerned with the application of the so-called "soft-computin...
The book provides a sample of research on the innovative theory and applications of so...
Computational Intelligence or Soft Computing methods refer to three concepts viz. Artificial Neural ...
This paper describes the potentials of the application of modern soft computing techniques into deve...
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given...
The purpose of this article is about soft computing and its different methods for modeling phenomena...
Intelligent data analysis (IDA) is an interdisciplinary study concerned with the effective analysis ...