DocumentCode
2751589
Title
The Configurable Digital Neural Network with Emulated Digital Cellular Neural Network Cores
Author
Zeffer, Tamás ; Hidvégi, Timót
Author_Institution
Fac. of Inf. Technol., Peter Pazmany Catholic Univ., Budapest
fYear
2006
fDate
3-5 July 2006
Firstpage
312
Lastpage
315
Abstract
A configurable artificial neuron network that is capable of establishing both the emulated digital cellular neural network (CNN) and the static multilayered feedforward neural network (MFNN) is described. The configurable neural network is designed with the method of modularity where each module is a three weighted input neuron. The network can be optionally large limited only by the gate number available on a chip
Keywords
cellular neural nets; feedforward neural nets; neural chips; configurable artificial neuron network; digital cellular neural network; static multilayered feedforward neural network; Artificial neural networks; Cellular neural networks; Design methodology; Feedforward neural networks; Information technology; Multi-layer neural network; Neural networks; Neurons; Signal processing; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics, 2006 IEEE International Conference on
Conference_Location
Budapest
Print_ISBN
0-7803-9712-6
Electronic_ISBN
0-7803-9713-4
Type
conf
DOI
10.1109/ICMECH.2006.252545
Filename
4018380
Link To Document