MATLAB中的径向基函数

最新推荐文章于 2024-10-29 16:04:03 发布

xiaoyu50052

最新推荐文章于 2024-10-29 16:04:03 发布

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分类专栏：个人笔记文章标签： matlab network function layer vector performance

本文链接：https://blog.youkuaiyun.com/xiaoyu50052/article/details/1422351

NEWRB是MATLAB中用于设计径向基网络的函数，它通过不断添加神经元来逼近目标函数，直到达到指定的均方误差目标。函数接受输入向量、目标向量、误差目标、函数传播等参数，并自动调整权重以优化性能。

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function [net,tr]=newrb(p,t,goal,spread,mn,df)
%NEWRB Design a radial basis network.
%
% Synopsis
%
%    net = newrb
%    [net,tr] = newrb(P,T,GOAL,SPREAD,MN,DF)
%
% Description
%
%    Radial basis networks can be used to approximate
%    functions. NEWRB adds neurons to the hidden
%    layer of a radial basis network until it meets
%    the specified mean squared error goal.
%
%   NET = NEWRB creates a new network with a dialog box.
%
%   NEWRB(PR,T,GOAL,SPREAD,MN,DF) takes these arguments,
%     P      - RxQ matrix of Q input vectors.
%     T      - SxQ matrix of Q target class vectors.
%     GOAL   - Mean squared error goal, default = 0.0.
%     SPREAD - Spread of radial basis functions, default = 1.0.
%     MN     - Maximum number of neurons, default is Q.
%     DF     - Number of neurons to add between displays, default = 25.
%   and returns a new radial basis network.
%
%   The larger that SPREAD is the smoother the function approximation
%   will be. Too large a spread means a lot of neurons will be
%   required to fit a fast changing function. Too small a spread
%   means many neurons will be required to fit a smooth function,
%