Neural Networks Studies——QSAR for O-ethyl-O-aryl-N-isopropyl-phosphoramidothioates

• 作 者: 顾立群 王磊光 黄五群 杨华铮
• 机 构: Department of Physics, Nankai University, Tianjin 300071, PRC,Department of Physics, Nankai Universi
• 出 处: Chinese Science Bulletin
• 发表日期: 1994年08期
• 关键词: isopropyl exact QSAR variance pursuit calculating correctly emerging closer find

O-ethyl-O-aryl-N-isopropyl-phosphoramidothioates have relatively high herbicidal ac-tivity. The exact and comprehensive QSAN study is the key to finding new compoundswith high activity. Artificial neural networks (ANNs) are a newly emerging field ofinformation processing technology. As ANNs can be taught complex nonlinearinput-output transformations and have the ability of adaptive learning, resistance tonoise and fault tolerance, they can solve the pattern recognition and funtionalmapping problems.

O-ethyl-O-aryl-N-isopropyl-phosphoramidothioates have relatively high herbicidal ac-tivity. The exact and comprehensive QSAN study is the key to finding new compounds with high activity. Artificial neural networks (ANNs) are a newly emerging field of information processing technology. As ANNs can be taught complex nonlinear input-output transformations and have the ability of adaptive learning, resistance tonoise and fault tolerance, they can solve the pattern recognition and funtional mapping problems.