资源列表
partitionwithNID
- partition的加强版 支持向量机源码 数据挖掘的一个改进算法-partition NDI
ANNPID
- 分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.-Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supe
AIA2
- 人工免疫克隆选择算法是一种比较新型的智能算法，其基本算法结构与遗传算法是类似的，以下源码是为网络节点分组调度问题而设计的算法。-Artificial immune clonal selection algorithm is a relatively new type of intelligent algorithms, the basic algorithm structure and the genetic algorithm is similar to, the following sour
BP
- 基于bp神经网络的数据融合，可修改为多组数据融合-Bp neural network based data fusion, multiple sets of data can be modified to integrate
yichuansuanfa.tar
- 遗传算法计算非线性优化问题的matlab计算程序。-Matlab program for computing nonlinear optimization problem
4x4key
- 4×4矩阵式键盘识别技术 * 注：为了有更多实用的实验程序供大家学习，部分程序参考网上的资源， * 在此谢谢这些无私奉献的朋友
bp_Device
- 设计的bp神经网络，来判断和预测机器的故障级别。
RandomUtil
- 一个用于按照样本概率随机抽样的算法，概率越大，随机抽到的机会越大。-A algorithm of sampling data based on rate,the rate bigger,the chance bigger!
bp
- python 实现的bp神经网络预测，数据已经有，可以直接替换，叠加次数还有步长可以自己设置。(Python implementation of BP neural network prediction, the data already has, can be directly replaced, the number of overlap, there are steps you can set yourself.)
binclass_perc_4_5
- 结合书上的例子写的二分类非循环版/循环版以及简单神经网络实现(Two examples of non circular / cyclic versions and simple neural networks are written in conjunction with examples in the book)
Two-rigid-Link-Dynamics
- 刚性两杆机构的动力学程序，为机器人动力学建模以及控制打下基础，与很多方法不同的是，这里采用龙格库塔法，显著提高运算精度-Rigid body dynamics program two shots for robot dynamics modeling and control of the foundation, with a lot of different methods is used here Runge-Kutta method, significantly improving oper
oranage_and_apple_classify
- 神经网络感知机学习规则，php代码实现，自动学习权值，支持重置权值等。-NN learning,php programming