Predicting shrimp disease occurrence: artificial neural networks vs. logistic regression

Author:

Leung PingSun,Tran Liem T

Publisher

Elsevier BV

Subject

Aquatic Science

Reference14 articles.

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2. The neurological basis for neural computations;Harston,1990

3. Classification of microbial defects in milk using a dynamic headspace gas chromatograph and computer-aided data processing. 2. Artificial neural networks, partial least-squares regression analysis, and principal component regression analysis;Horimoto;J. Agric. Food Chem.,1997

4. Predicting bond ratings using neural networks: a comparison with logistic regression;Maher;Intelligent Systems in Accounting, Finance and Management,1997

5. Introduction to neural networks;Maren,1990

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