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 |