Artificial Neural Networks For e-NOSE: a review
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چکیده
Neural networks have seen an explosion of interest over the last few years. The primary appeal of neural networks is their ability to emulate the brain's pattern-recognition skills. The sweeping success of neural networks can be attributed to some key factors.Thepaper explicates the feature of neural network and also enlightens how neural networks are being successfully applied across an extra-ordinary range of problem domains, in areas as diverse as finance, medical, engineering, physics etc. Electronic nose[2,3] is a new and promising technology which is rapidly becoming a valuable tool for the organoleptic evaluation of food parameters related to taste and smell and could replace human sensory panels in quality control applications, where the objective rapid and synthetic evaluation of the aroma of many specimens is required. An electronic nose is generally composed of a chemical sensing system (e.g., sensor array or spectrometer[5]) and a pattern recognition system (e.g., artificial neural network). We are developing electronic noses for the automated identification of volatile chemicals for environmental and medical applications. In this paper, we briefly describe neural networks, electronic nose & cardiovascular system.ANNs show significant potential in their use as an accurate diagnostic tool for the classification of heart sound data into innocent and pathological classes. This technology offers great promise for the development of a device for high-volume screening for heart disease.
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تاریخ انتشار 2012