关于鱼群算法的一个程序，希望对学习智能算法的朋友有所帮助。...

人工神经网络- Artificial nerve network

数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining

k-means算法 自定义数据样本和类中心 已经调试实现 并且有图清晰表示-k-means algorithm for custom data types of samples and testing center has been and realize that has a clear plan

JAVA版的蚂蚁算法(Ant Colony Optimization Algorithms) -JAVA version of the ant algorithm (Ant Colony Optimization Algorithms)

BP神经网络的小应用。模拟0~1之间的三角函数曲线-BP neural network of small applications. Analog 0 to 1 between the trigonometric curve

人工智能bp算法程序以及实验报告-bp artificial intelligence algorithms and experimental procedures report

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

人工智能课程习题与解答-artificial intelligence programs to answer the questions and

一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现,-a machine learning algorithm packages, including neural networks, fuzzy logic, support vector machine, MATLAB platform.

非线性规划中求解无约束问题中的一个有效方法--模矢法(步长加速法),并用图表示出来步骤.-Nonlinear Programming Solution unconstrained problem of an effective method-- vector mode (step acceleration), and using map out steps.