Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2017
Genre:	Naturwissensch., Medizin, Technik
	Automatic control engineering / Computational Neuroscience / neural network programming experiments / pattern recognition methods / recurrent neural models / supervised learning algorithms / synaptic plasticity / Systems analysis & design / Systems analysis and design / TECHNOLOGY & ENGINEERING / Automation / unsupervised learning techniques mehr...
ISBN:	9781138440173
EAN-Code:	9781138440173
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 254 mm / B 178 mm / D
Gewicht:	720 gr
Seiten:	298
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks.Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programyandlang=en