资源列表
fileget
- 共有五种算法 ：A star 算法类的实现，Bp神经网络解决异或问题，联机手写数字识别，联机数字、英文字符及汉字识别，8数码游戏,本算法为手写数字识别之Fisher线性判别
NETWORK
- 神经网络的MATLAB实现，附有详细的函数说明，可以实现任意函数的逼近-MATLAB neural network implementation, accompanied by a detailed descr iption of the function, can achieve an arbitrary function approximation
chap2_2ctrl
- 在忽略重力和外加干扰时，采用独立的PD控制，能满足机器人定点控制的要求。-Ignoring gravity and external interference, the use of an independent PD control, to meet the requirements of the robot position control.
szsb121
- 通过神经网络进行数字识别，只加了7个数，可加至10个数字-through neural network for digital identification, only increasing the number seven, can increase the number to 10
CHAP4_1.rar
- 单神经元PID控制的MATLAB程序，欢迎大家下载。,Single neuron PID control MATLAB program, welcome you to download.
bahunghou
- 从八皇后的例子看出搜速深度有限,仅有几层,而且不可能出现重复状态的问题,因此BACKTRACK过程完全适用,对于八数码问题则不然,必须设置深度范围限制及出现重复状态引起的死循环这两个回溯点. -Examples of Queen' s from eight to see the depth of search speed is limited, only few, but can not state the problem of duplication, so the process
RFF
- 辨识模型与遗忘因子法所用模型相同，其中， 0 ≤μ≤1为遗忘因子， 此处取0.98。 数据长度L=402。一次算法和递推算法结果基本一致，但递推算法可以实现在线实时辨识，而且可以减少计算量和存储量。-Identification model and forgetting factor method used the same model, among them, 0 or less or less 1 μ for forgetting factor, here take 0.98. Data l
breed-PSO
- 杂交粒子群算法是借鉴遗传算法中杂交的概念，在每次迭代中，根据杂交率选取指定数量的粒子放入杂交池内，池内的粒子随机地两两杂交。-The hybrid particle swarm algorithm is based on the concept of hybridization in genetic algorithm. In each iteration, the specified number of particles are put into the hybridization pool
sinxsiny
- 利用模糊控制理论和神经网络理论编写的跟踪sinxsiny/xy的程序，可以有效地对跟效果进行分析和修改-Fuzzy control theory and neural network theory written track sinxsiny/xy program that can effectively be analyzed and modified with effect
guanjiejiaodu
- 获取nao机器人全身各个部位的关节角度值，并且以矩阵的形式输出-Get nao robot joint angle values for each part of the body, and output in the form of a matrix
k_means
- 模式识别与人工智能中k均值算法的matlab源码-Compute k means for the data using the k_means algorithm
SimuAPSO
- 基于模拟退火的粒子群优化算法。基本粒子群优化算法中,虽然粒子速度作了限制,不会变化太大,但位置更新时未作限制,就有可能新的位置会变得很坏,引起收敛速度缓慢,所以对更新的位置也要作限制-Particle swarm optimization algorithm based on simulated annealing