Recurrent Neural Networks
Xiaolin Hu and P. Balasubramaniam, "Recurrent Neural Networks"
Publisher: InTech | 2008 | ISBN: 9789537619084 | PDF | 400 pages | 39.1 MB
The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints.
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Nerve Systems Recurrent Neural Networks Nerve System Optimization Problems Mirors Balasubramaniam Mathematical Modeling Intech Neural Network Chapter 11 Viewpoints Neuroscience Quot Aims Principle Aim Animals Publisher
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