Title :
VLSI implementation of a learning actractor neuronal network (LANN)
Author :
Bertazzoni, S. ; Cardarilli, G.C. ; Lojacono, R. ; Salmeri, M. ; Salsano, A. ; Simonelli, O.
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
In this paper we describe the most important steps of the VLSI analog implementation of a learning actractor neural network. An overview of the theoretical model is presented while the most important circuits are described in greater details
Keywords :
Hopfield neural nets; VLSI; analogue processing circuits; learning (artificial intelligence); neural chips; Hopfield networks; LANN; VLSI implementation; analog implementation; learning actractor neuronal network; theoretical model; Biological neural networks; Circuits; Equations; Hardware; Multilayer perceptrons; Neural networks; Neurons; Software algorithms; Statistics; Very large scale integration;
Conference_Titel :
Solid-State and Integrated Circuit Technology, 1995 4th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3062-5
DOI :
10.1109/ICSICT.1995.500156
