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|標題:||Price information evaluation and prediction for broiler using adapted case-based reasoning approach||作者:||Huang, B.W.
|關鍵字:||Broiler priced;Case-based reasoning;Case adaptation;Genetic;algorithms;software-development effort;threshold cointegration;genetic algorithm;market||Project:||Expert Systems with Applications||期刊/報告no：:||Expert Systems with Applications, Volume 36, Issue 2, Page(s) 1014-1019.||摘要:||
Predicting the upcoming broiler market price is important for the producers in developing their production plan. Effective price prediction model can aid producers to prevent over production or production shortage of broilers in advance. This research proposes all adapted CBR approach for predicting broiler price. The results indicate that the proposed adapted CBR approach demonstrates superior prediction performance than tin-adapted CBR approach, CART. artificial neural nets and linear regression with at least 50% less of mean average error. This study finds that adjusting the price of the most similar case by considering the similarity distance to the case being predicted is a key to improve the prediction accuracy of the case-based broiler price estimation model. (C) 2007 Elsevier Ltd. All rights reserved.
|Appears in Collections:||應用經濟學系|
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