节点文献
BP网络和RBF网络在函数逼近领域内的比较研究
A Comparative Study on BP Network and RBF Network in Function Approximation
【摘要】 通过仿真实例,对BP网络和RBF网络的函数逼近能力进行了比较研究,仿真结果表明,RBF网络的函数逼近能力在多个方面都优于BP网络,但在解决相同问题时,BP网络的结构要比RBF网络简单;实际应用中,可以以此结论为指导来设计神经网络。
【Abstract】 The function approximation capability of BP Network and RBF Network was compared,and a simulation example was presented.The results of numerical simulation indicate that the function approximation capability of RBF network is prior to that of BP network.But the structure of BP network is simpler than that of RBF network when solving the same problem.The conclusion will provide theoretical guide for function approximation.
【关键词】 人工智能;
神经网络;
函数逼近;
BP网络;
RBF网络;
【Key words】 artificial intelligence; function approximation; BP network; RBF network;
【Key words】 artificial intelligence; function approximation; BP network; RBF network;
- 【文献出处】 科技通报 ,Bulletin of Science and Technology , 编辑部邮箱 ,2005年02期
- 【分类号】TP183
- 【被引频次】115
- 【下载频次】1197