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
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;
Conference_Titel :
Mechatronics, 2006 IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
0-7803-9712-6
Electronic_ISBN :
0-7803-9713-4
DOI :
10.1109/ICMECH.2006.252545
