TY  - CHAP
AU  - Akito Sakurai
AU  - Yoshihisa Shinozawa
ED  - Xiaolin Hu
ED  - P. Balasubramaniam
Y1  - 2008-09-01
PY  - 2008
T1  - Linguistic Productivity and Recurrent Neural Networks
N2  - 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.
BT  - Recurrent Neural Networks
SP  - Ch. 3
UR  - https://doi.org/10.5772/5553
DO  - 10.5772/5553
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-18
ER  -