Classification and Learning Using Genetic Algorithms

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📖 The Scoop

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-à-vis several widely used classifiers, including neural networks.

Genre: Computers / Artificial Intelligence / Computer Vision & Pattern Recognition (fancy, right?)

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