Contact
How to shop
Delivery
Shopping guide
Classification of Graffiti digits by using Computational Intelligence
Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition.
English
114 b
Delivery to Austria
Up to 30 days for returns
Customers also purchased
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.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
8.89
€
/
Paperback
27.19
€
/
Paperback
46.29
€
/
Paperback
20.89
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?