Authors | |
Publisher | Springer, Berlin |
Year | |
Pages | 311 |
Version | hardback |
Language | English |
ISBN | 9783540496069 |
Categories | Pattern recognition |
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-a-vis several widely used classifiers, including neural networks.
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence