资源列表
enhanced-BP
- bp神经网络改进算法加入局部学习率自适应调整机制程序用于拟合函数-bp Neural Network Algorithm local learning rate adaptive adjustment mechanism procedure for fitting function
FloydMATLAB
- Floyd最短路算法的MATLAB程序，采用floyd算法计算图a中每对顶点最短路-Floyd shortest path algorithm MATLAB program using floyd algorithm to calculate Figure a per vertex shortest
mynsa
- 神经网络matlab算法实现，包括多重网络设定，可以使用于各种优化,适合应用于数学建模-Neural network matlab algorithm to achieve, including multiple network setting, you can use the various optimization
Multi-ACO-for-TSP
- 多种群蚁群算法解决pst问题的matlab代码，很有借鉴意义-Multiple ant colony system optimization algorithm for sovling TSP problem
MOEA-NSGA-II.zip
- 多目标的经典遗传算法MOEA-NSGA-II，采用平衡集与非支配排序方法,Classic multi-objective genetic algorithm MOEA-NSGA-II, using the non-dominated sorting method
Backtrack_M_C
- 人工智能算法 传教士野人问题程序 进攻学习参考-On artificial intelligence algorithms missionaries Savage program offensive learning reference
RGLS
- 该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。-The algorithm used for autoregressive input model, it is a kind of iterative alg
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
BPANN
- 本程序针对人工神经网络数据预测给出了详细处理过程-This program gives a detailed process for artificial neural network data predict
GeneticAlgorithm
- 遗传算法解决背包问题和旅行商问题。 测试数据已经写入java代码中。 遗传算法的参数可以修改。-Genetic algorithm to solve the knapsack problem and the traveling salesman problem. The test data has been written to the java code. The parameters of the genetic algorithm can be modified.
pmtk3-1nov12
- machine learning a probabilistic persepective的源码-machine learning a probabilistic persepective code
Silence-removal-in-speech-signals
- 进行话音检测和去除无效的话音，是进行语音识别和处理的预处理必须的功能。-A simple method for silence removal in speech streams