我在 Matlab 中使用“newrb”方法在神经网络中使用径向基本函数（rbf），一切都很好，但我希望找到一种方法，使我能够在我拥有的两个样本之间绘制决策边界。例如，在感知器中，决策边界是一条具有方程 WX+b=0
的线
W：权重，X：输入，b 是偏差。如何从 rbf 中得出复杂的决策边界结果？
谢谢。哈尼·阿尔穆斯利......
I am using radial basic function(rbf) in neural network using "newrb" method in Matlab and all things are good, but i hope to find a way which makes me able to draw the decisions boundary between the two samples that i have. For example in perceptron the decision boundary is a line with equation WX+b=0
W:weights, X:Inputs and b is the bias.How can i draw the complex decision boundary result from rbf?
Thanks. Hani Almousli.....
发布评论
评论（2）
我相信它是... w*phi(x) 对于最简单的单输入、单函数网络，
其中.. w=wieght, phi=bias_function, x=input
I believe it is... w*phi(x) for the simplest single input, single function network
where.. w=wieght, phi=bias_function, x=input
在matlab中，有2个代码用于绘制输入和目标以及决策边界之间的关系
plotpc（权重，偏差）我希望有所帮助
in matlab there 2 codes for plot the relation between input and target and decision boundary
I hope that help