摘要
本文研究了用遗传算法优化BP和RBF两种神经网络的方法来建立对“好”、“坏”苹果气味识别的分类模型。形容结果表明,对“好”、“坏”苹果气味进行分类时,遗传算法优化BP和RBF神经网络建立的分类模型判别准确率均大于83%。
The application of Genetic Algorithms(GA) to optimizing Neural Networks(NN) for classifying apple’s scent wasstudied in this paper. 54 apples were brought from supermarket for experiments the data of apple’s scent was collected usingelectronic nose. The classifying models were obtained by using GA to optimizing backpropagation networks and radial basisnetworks. The results indicate that accuracy of obtained classifying model were than 83%.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2004年第2期39-42,共4页
Food Science
基金
江苏省自然科学基金项目(bk2001088)
