Kniha Classification of Graffiti digits by using Computational Intelligence Ali H. Al-Fatlawi

Classification of Graffiti digits by using Computational Intelligence

Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition.

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Noor Publishing
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
43.05
The technological advances and the massive flood of papers have motivated many researchers and compa...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2017
Stránok
96
EAN
9783330969360
ISBN
3330969369
Enbook ID
16445817
Vydavateľ
Hmotnosť
159
Rozmery
150 x 220 x 6

Kompletný popis

The technological advances and the massive flood of papers have motivated many researchers and companies to innovate new methods and technologies. They build automatic readers to recognize handwritten documents. In particular, handwriting recognition is very useful technology to support applications like electronic books (eBooks), postcode readers (that sort the mail in post offices), and some bank's applications. This book proposed systems to discriminate handwritten graffiti digits and some commands with different architectures and abilities. It introduced three classifiers, namely single neural network (SNN) classifier, parallel neural networks (PNN) classifier and tree-structured (TS) classifier. The three classifiers have been designed through adopting feed-forward neural networks. The back-propagation algorithm has been used to optimize the network's parameters (connection weights). Several architectures are applied and examined to present a comparative study about the three systems from different perspectives.

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