Convergence Analysis of Recurrent Neural Networks is popular PDF and ePub book, written by Zhang Yi in 2013-11-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Convergence Analysis of Recurrent Neural Networks can be Read Online from any device for your convenience.
Convergence Analysis of Recurrent Neural Networks Book PDF Summary
Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain feedback connections among the neurons, a phenomenon which has led rather naturally to RNNs being regarded as dynamical systems. RNNs can be described by continuous time differential systems, discrete time systems, or functional differential systems, and more generally, in terms of non linear systems. Thus, RNNs have to their disposal, a huge set of mathematical tools relating to dynamical system theory which has tumed out to be very useful in enabling a rigorous analysis of RNNs.
Detail Book of Convergence Analysis of Recurrent Neural Networks PDF
- Author : Zhang Yi
- Release : 11 November 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781475738193
- Genre : Computers
- Total Page : 244 pages
- Language : English
- PDF File Size : 21,8 Mb
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