標題: Developing a sugar-cane breeding assistant system by a hybrid adaptive learning technique
作者: Jiang, MF
Wang, CH
Tseng, SS
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: sugar-cane;genetic algorithm;neural network
公開日期: 1996
摘要: The traditional sugar-cane breeding process depends on the determination of experienced breeding researcher. It's well known that computer-aided methodology is very useful in many fields today, such as CAD, CAM, and CAI. Since the sugar-cane breeding problem in agriculture field is complex, it seems that using computer-aided methodology is very suitable to solve this problem. In this paper, we use the techniques of neural networks and genetic algorithms to construct a method in order to induce the sugar-cane cross model from the sugar-cane parent database which established by Taiwan Sugar Research Institute (TSRI) since 1990. The experimental results show that the correct percentage for testing is about 70%.
URI: http://hdl.handle.net/11536/19896
ISBN: 7-80003-381-3
期刊: INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4
起始頁: 1196
結束頁: 1201
顯示於類別:會議論文