期刊名称：International Journal of VLSI Design & Communication Systems
印刷版ISSN：0976-1527
电子版ISSN：0976-1357
出版年度：2012
卷号：3
期号：2
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：With the advent of new technologies and advancement in medical science we are trying to process the information artificially as our biological system performs inside our body. Artificial intelligence through a biological word is realized based on mathematical equations and artificial neurons. Our main focus is on the implementation of Neural Network Architecture (NNA) with on a chip learning in analog VLSI for generic signal processing applications. In the proposed paper analog components like Gilbert Cell Multiplier (GCM), Neuron activation Function (NAF) are used to implement artificial NNA. The analog components used are comprises of multipliers and adders’ along with the tan-sigmoid function circuit using MOS transistor in subthreshold region. This neural architecture is trained using Back propagation (BP) algorithm in analog domain with new techniques of weight storage. Layout design and verification of the proposed design is carried out using Tanner EDA 14.1 tool and synopsys Tspice. The technology used in designing the layouts is MOSIS/HP 0.5u SCN3M, Tight Metal.
关键词：Neural Network Architecture; Back Propagation Algorithm.
