Kernel Neuron and Its Training Algorithm

摘要：

In this paper we extend the classical neuron by using the kernels to define its corresponding kernel neuron, and construct a training algorithm based on gradient descent scheme for it. For nonlinear classification and regression problems, it can implement the similar performance of feedforward neural networks, e.g. multi-layer perceptions and radial basis junction neural networks. Moreover its algorithm structure is very simple. Experiments further show that it works well on both linear and nonlinear cases.

关键词： Kernel Neuron Support Vector Machine Classification Regression

作者: Jianhua XU Xuegong ZHANG Yanda LI

作者单位: Deportment of Automation, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 899-904

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）