REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

Instituto Federal de Educa??o Ciência e Tecnologia de Goiás Goiania Brazil; Instituto Federal de Educa??o Ciência e Tecnologia de Goiás Inhumas Brazil; Schimidt Fernando; Silva Saulo Rodrigues e

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REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

机译：溶解氧建模中基于主成分分析数据的人工神经网络输入变量的减少

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《Quimica nova》 |2016年第3期|共6页
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Instituto Federal de Educa??o Ciência e Tecnologia de Goiás Goiania Brazil; Instituto Federal de Educa??o Ciência e Tecnologia de Goiás Inhumas Brazil; Schimidt Fernando; Silva Saulo Rodrigues e;
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中图分类化学;
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REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

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