Redes neurais e suas aplicações em calibração multivariada Neural networks and its applications in multivariate calibration
| Autor: | Eduardo O. de Cerqueira, João C. de Andrade, Ronei J. Poppi, Cesar Mello |
|---|---|
| Jazyk: | English<br />Spanish; Castilian<br />Portuguese |
| Rok vydání: | 2001 |
| Předmět: | |
| Zdroj: | Química Nova, Vol 24, Iss 6, Pp 864-873 (2001) |
| Druh dokumentu: | article |
| ISSN: | 0100-4042 1678-7064 |
| DOI: | 10.1590/S0100-40422001000600025 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|