搜索资源列表
bpbao
- 用c++编写的bp神经网络开发包，能实现函数的任意逼近-prepared with the bp neural network development kits, can achieve an arbitrary function approximation
neural_1.520
- 用C++写的函数逼近的例子!可以设置步长，训练精度，训练次数等!另外界面相当的漂亮!-C write function approximation of the example! Can be set up step, training precision, training frequency! In addition to the interface very beautiful!
NeuroNetSample
- 我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。-I have previously written a study of the neural network function approximation and classification of examples, business class.
BPsin(xy)
- 用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.
bp_c
- BP人工神经网络改进算法 加入惯性系数 bp算法c语言实现_函数逼近-c code of bp algorithm.
kecheng2011
- 课程设计要求 0 实验一 基于模板匹配的字符识别 1 实验二 基于C均值算法的车辆检测与跟踪 3 实验三 水果分类系统设计 5 实验四 基于遗传算法的图像歪斜校准 6 实验五 基于BP网络的函数逼近 9 实验六 空调模糊控制系统设计 -Curriculum design requires 0 Experimental one based on template matching character recognition 1 C-means algorithm
MY_ID3
- 这是用C++实现的ID3决策树，决策树算法是非常常用的分类算法，是逼近离散目标函数的方法，学习得到的函数以决策树的形式表示。-ID3 decision tree, the decision tree algorithm implementation in C++ is a very commonly used classification algorithms, approximation discrete objective function, the learning function to
BP
- 使用C语言模拟实现bp神经网络逼近正弦函数-Using C language to achieve BP network approximation analog sine function
function-approximation
- 基于神经网络的函数逼近源代码c++,函数为y=sin(x*pi/400)+2-Source code c++ function approximation based on neural networks, function y = sin (x* pi/400)+2000