Classification of Graffiti digits by using Computational Intelligence

Name: Classification of Graffiti digits by using Computational Intelligence
Brand: Noor Publishing
SKU: 9783330969360
Price: 184.61 PLN
Availability: InStock

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

Autor: Ali H. Al-Fatlawi

Język:

Oprawa: Miękka

Wydawca: Noor Publishing

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

184.61 zł

The technological advances and the massive flood of papers have motivated many researchers and compa...

Informacje o książce

Autor

Ali H. Al-Fatlawi

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2017

strony

EAN

9783330969360

ISBN

3330969369

Enbook ID

16445817

Wydawca

Noor Publishing

Waga

159

Wymiary

150 x 220 x 6

Pełny opis

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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Classification of Graffiti digits by using Computational Intelligence

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

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również