摘要
建立基于三角形的感官评估基本模型和一种机器模拟人评估行为的控制方法,根据新的知识不断修正计算机存储的感官评估参数的控制策略,通过该控制策略实现机器的自学习过程。实验结果表明,采用自学习控制能够提高计算机辅助感官评估(CASE)实验的能力。
A basic model based on trigon of sensory evaluation and a control method that simulated human behavior was proposed. This method was cosidered as a control strategy by modifying the coefficient of sensory evaluation that was saved in computer according to the newest knowledge. The process of self learning was implemented by the control strategy. The result of experiments show that the capacity of computer aided experiment of sensory evaluation is improved using the control strategies based on self-learning.
出处
《计算机应用研究》
CSCD
北大核心
2008年第2期398-400,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60474022)
关键词
感官评估
实验设计
自学习
智能控制
sensory evaluation
experiment design
self-learning
intelligent control
