Can I read Multi-Valued and Universal Binary Neurons : Theory, Learning and Applications on EtoBox?

Multi-Valued and Universal Binary Neurons : Theory, Learning and Applications by Igor N. Aizenberg, Naum N. Aizenberg, Joos Vandewalle (auth.) is a nonfiction available to read on EtoBox.

What is Multi-Valued and Universal Binary Neurons : Theory, Learning and Applications about?

__Multi-Valued and Universal Binary Neurons__ deals with two new types of neurons: multi-valued neurons and universal binary neurons. These neurons are based on complex number arithmetic and are hence much more powerful than the typical neurons used in artificial neural networks. Therefore, networks with such neurons exhibit a broad functionality. They can not only realise threshold input/output maps but can also implement any arbitrary Boolean function. Two learning methods are presented whereby these networks can be trained easily. The broad applicability of these networks is proven by several case studies in different fields of application: image processing, edge detection, image enhancement, super resolution, pattern recognition, face recognition, and prediction. The book is hence partitioned into three almost equally sized parts: a mathematical study of the unique features of these new neurons, learning of networks of such neurons, and application of such neural networks. Most of this work was developed by the first two authors over a period of more than 10 years and was only available in the Russian literature. With this book we present the first comprehensive treatment of th

Who reads Multi-Valued and Universal Binary Neurons : Theory, Learning and Applications?

Author

Igor N. Aizenberg, Naum N. Aizenberg, Joos Vandewalle (auth.)

Publisher

Springer International Publishing

Published

2000

Language

EN

ISBN

9781441949783

Category

nonfiction

Subjects

Engineering, Science, Physics