- authorware.rar authorware源代码
- bootstrap 本程序是一个仿真程序
- text1 设置一个JLabel组件
- 89c52 PWM 步进电机
- GSM-Channel-Equalization GSM Channel Equalization This application note describes the theory and implementation of GSM channel equalization and channel decoding algorithms using the Freescale MSC8126 Viterbi coprocessor (VCOP). It also examines the theory behind the soft output Viterbi algorithm (SOVA) assisted by the VCOP. Code examples illustrate how the VCOP performs channel equalization and the SOVA algorithm. A set of suggested design practices for VCOP usage is followed by a discussion of the VCOP driver
- linux TCP IP协议栈源码解析 linux内核TCP/IP协议栈解析
文件名称:bp
介绍说明--下载内容来自于网络,使用问题请自行百度
#include "iostream.h"
#include "iomanip.h"
#define N 20 //学习样本个数
#define IN 1 //输入层神经元数目
#define HN 8 //隐层神经元数目
#define ON 1 //输出层神经元数目
double P[IN] //单个样本输入数据
double T[ON] //单个样本教师数据
double W[HN][IN] //输入层至隐层权值
double V[ON][HN] //隐层至输出层权值
double X[HN] //隐层的输入
double Y[ON] //输出层的输入
double H[HN] //隐层的输出
-# Include iostream.h# Include iomanip.h# Define N 20// learning sample number# Define IN 1// input layer neurons in the number# Define HN 8// hidden layer neuron The number# define ON 1// output layer neuron number of double P [IN]// single sample input data double T [ON]// single sample data teachers double W [HN] [IN]// input layer to hidden layer weight double V [ON] [HN]// hidden layer to output layer weights double X [HN]// hidden layer input double Y [ON]// output layer input double H [HN]// hidden layer output
#include "iomanip.h"
#define N 20 //学习样本个数
#define IN 1 //输入层神经元数目
#define HN 8 //隐层神经元数目
#define ON 1 //输出层神经元数目
double P[IN] //单个样本输入数据
double T[ON] //单个样本教师数据
double W[HN][IN] //输入层至隐层权值
double V[ON][HN] //隐层至输出层权值
double X[HN] //隐层的输入
double Y[ON] //输出层的输入
double H[HN] //隐层的输出
-# Include iostream.h# Include iomanip.h# Define N 20// learning sample number# Define IN 1// input layer neurons in the number# Define HN 8// hidden layer neuron The number# define ON 1// output layer neuron number of double P [IN]// single sample input data double T [ON]// single sample data teachers double W [HN] [IN]// input layer to hidden layer weight double V [ON] [HN]// hidden layer to output layer weights double X [HN]// hidden layer input double Y [ON]// output layer input double H [HN]// hidden layer output
(系统自动生成,下载前可以参看下载内容)
下载文件列表
bp.c
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者,仅为网络服务对象提供信息存储空间,仅对用户上载内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。
