文章基本信息

标题：FEEDFORWARD NEURAL NETWORK ESTIMATION OF A CROP YIELD RESPONSE FUNCTION
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作者：Joerding, Wayne H. ; Li, Ying ; Young, Douglas L. 等
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：1994
页码：252-263
出版社：Journal of Agribusiness
摘要：Feedforward networks have powerful approximation capabilities without the "explosion of parameters" problem faced by Fourier and polynomial expansions. This paper first introduces feedforward networks and describes their approximation capabilities, then we address several practical issues faced by applications of feedforward networks. First, we demonstrate networks can provide a reasonable estimate of a Bermudagrass hay fertilizer response function with the relatively sparse data often available from experiments. Second, we demonstrate that the estimated network with a practical number of hidden units provides reasonable flexibility. Third, we show how one can constrain feedforward networks to satisfy a priori information without losing their flexible functional form characteristic.
关键词：Biological process models;Feedforward networks;Production function;Neural networks