Redes neurais e suas aplicações em calibração multivariada

Química Nova

Eduardo O. De Cerqueira²  João C. De Andrade²  Ronei J. Poppi²  Cesar Mello¹ 

[1] ,Universidade Estadual de Campinas Instituto de Química Departamento de Química AnalíticaCampinas SP

关键词: neural networks;    backpropagation;    radial basis functions;    multivariate calibration;   

DOI  :  10.1590/S0100-40422001000600025

来源: SciELO

【 摘 要 】

Neural Networks are a set of mathematical methods and computer programs designed to simulate the information process and the knowledge acquisition of the human brain. In last years its application in chemistry is increasing significantly, due the special characteristics for model complex systems. The basic principles of two types of neural networks, the multi-layer perceptrons and radial basis functions, are introduced, as well as, a pruning approach to architecture optimization. Two analytical applications based on near infrared spectroscopy are presented, the first one for determination of nitrogen content in wheat leaves using multi-layer perceptrons networks and second one for determination of BRIX in sugar cane juices using radial basis functions networks.

【 授权许可】

CC BY-NC   
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