文章基本信息

标题：Application of Extreme Learning Machine and Modified Simulated Annealing for Jatropha Curcas Disease Identification
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作者：Triando Hamonangan Saragih ; Wayan Firdaus Mahmudy ; Abdul Latief Abadi 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2018
卷号：10
期号：2
出版社：International Center for Scientific Research and Studies
摘要：Jatropha Curcas is a plant that has many functions and uses for everyday purposes such as biodiesel and beauty tools, but this plant can not can also be separated from the disease. Expert systems can be applied in identifying so as to help both farmers and extension workers to identify disease. The method that can be used one of them is the method of Extreme Learning Machine. Extreme Learning Machine has been done and the results of accuracy given still need improvement. Optimizing the value of weight on Extreme Learning Machine can improve the accuracy value. Optimization done using Simulated Annealing and using decision tree gives better result than before, with best accuracy average 90%,95% and maximum accuracy equal to 94%,74%
关键词：Jatropha Curcas; Extreme Learning Machine; Simulated ; Annealing; Decision Tree; Identification