Könyv Optimization of Classifiers using Genetic Programming Abdul Majid

Optimization of Classifiers using Genetic Programming

Developing Optimal Composite Classifiers using Genetic Programming for Pattern Classification problems

Szerző: Abdul Majid
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
21 731 Ft
The material in the book is useful for the beginners, graduate students and teachers working in the...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2016
oldal
160
EAN
9783659934926
Enbook ID
14211182
Súly
255
Méretek
150 x 220 x 10

Teljes leírás

The material in the book is useful for the beginners, graduate students and teachers working in the fields of pattern recognition, image processing, machine learning, and computational intelligence. This book is also fruitful for scientists, researchers, and engineers who want to develop their improved performance classification models for pattern recognition / classification problems. This book focuses the development of various classification models using genetic programming (GP) optimization. This technique is employed in various stages of the pattern classification. The success of classification system highly depends on the improvement of its classification stage. The book has investigated the potential of genetic programming search space to optimize the performance of various machine-learning approaches including linear, support vector machines, statistical, and nearest neighbor. The main advantage of GP technique is that,during training, it automatically selection suitable component classifiers for optimal combination. In the book, the improved performance of composite classifiers is evaluated for various pattern classification problems.

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