A Hybrid Model Of Neural Network And Classification In Wine

摘要：

After studying the disadvantage of BP neural network which has low convergent speed and trap into local minima easily, an idea of designing a new hybrid neural network model. By using Artificial Bee Colony Algorithm (ABC) to expand the updated space of weight and using the fitness functions to decide the better weight. On the basis, make the acquired better value as the weight of BP neural network. Both are coordination makes the optimized BP network not to trap into the local minima, and good generalization characteristic. Simulation analysis demonstrated that this network model can attain higher categories of precision.

关键词： Artificial Bee Colony BP neural network fitness function

作者: Lv Qiongshuai Wang Shiqing

作者单位: Information Engineering School Zhengzhou University Zhengzhou,China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 58-61

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）