反向传播网络(Back-Propagation Network，简称BP网络)是将W-H学习规则一般化，对非线性可微分函数进行权值训练的多层网络 -Back Propagation Network (Back-Propagation Network, referred to as BP networks) is to learn the rules WH generalized, non-linear differentiable function on weight training m

CHILD M-file for child.fig CHILD, by itself, creates a new CHILD or raises the existing singleton*. H = CHILD returns the handle to a new CHILD or the handle to the existing singleton*. CHILD( CALLBACK ,hObject,eventData,handles,...) c

声明一个圆类作为基类，含成员数据半径R；有成员函数：构造函数实现对基类成员数 据的初始化、计算圆面积的成员函数、输出的成员函数，要求输出圆半径R。把圆类作为基 类，通过公有继承，派生圆柱体类，派生类新增成员数据有高（H）；新增成员函数有构造函 数、计算圆柱体体积的函数、输出所有成员的函数。main()完成派生类对象的定义和相关函 数的测试-Declare a class as a base class circle, including members of the data radius R