期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2012
卷号：2
期号：6
页码：739-747
DOI：10.11591/ijece.v2i6.1501
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Artificial Neural Network (ANN) is computation method based on mathematic model which have neuron structure and have process like human brain. Neural Network (NN) consists of simple element that works in parallel. NN decided by connection between elements which will be adjusted or trained so some input be able to appointed to some output. NN computation algorithm usually use computer to finish it. Computer has good ability in computation, but have disadvantage in flexibility because of size and need large power. Field Programmable Analogue Array (FPAA) gives opportunity to design and implemented NN by analogue. First benefit using NN analogue is the input sensor can directly process by FPAA without need to convert into digital. Therefore, error because of conversion can be minimize and increase the computation. Second gain is FPAA has small size and low consumption of power. Furthermore, FPAA can suitable in implementation electronic nose robot.
关键词：Instrumentation and Control;FPAA, Analog Neural Network, Electronic Nose
