Exploring Neural Networks with C# (Paperback)

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=programy&lang=en

人工神經網絡模型的實用性在於它們可以從觀察中推斷出函數，使它們在數據或任務的複雜性使得手工設計這樣的函數變得不切實際的應用中尤其有用。

《使用C#探索神經網絡》介紹了神經網絡的重要特性，同時將複雜的數學知識降到最低。它解釋了如何構建和使用神經網絡，以易於理解的方式呈現了有關神經網絡結構、功能和學習的複雜信息。

本書採用了“學以致用”的方法，充滿了插圖，引導您了解神經網絡的奧秘。書中提供了實驗示例，鼓勵個人研究。還提供了C#程序的在線訪問，以幫助您發現神經網絡的特性。

按照書中的步驟並使用附帶的程序，將使您學會如何使用神經網絡並評估您的進展。您可以從http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en下載這些程序，既可以作為可執行應用程序，也可以作為C#源代碼。