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Overview of Artificial Neural Networks by Jinming Zou; Yi Han; Sung-Sau So is a book available to read on EtoBox.

What is Overview of Artificial Neural Networks about?

The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to uncover the hidden causal relationships between single or multiple responses and a large set of properties. The ANN is one of many versatile tools to meet the demand in drug discovery modeling. Compared to a traditional regression approach, the ANN is capable of modeling complex nonlinear relationships. The ANN also has excellent fault tolerance and is fast and highly scalable with parallel processing. This chapter introduces the background of ANN development and outlines the basic concepts crucially important for understanding more sophisticated ANN. Several commonly used learning methods and network setups are discussed briefly at the end of the chapter.

Author

Jinming Zou; Yi Han; Sung-Sau So

Publisher

Humana Press

Published

2008

Language

EN

ISBN

9781603271011

Subjects

Computer Science, Science, Chemistry