资源列表
gaMATLAB
- 遗传算法优化装配生产线任务,MATLAB源码,优化出生产线最佳装配路径-Genetic algorithm to optimize the assembly line, optimizing task MATLAB source, the best assembly line
Artificial_Intelligence
- 1.Hopfield 學習演算法(功能:能辨識英文字母) 2.Competitive 競爭式學習演算法(功能:執行非監督式的資料分群)-1.Hopfield learning algorithm (function: to identify letters) 2.Competitive competitive learning algorithm (function: the implementation of unsupervised data clustering)
sade
- 它是一个基于遗传算法的优化方法，使用微分运算符。它用于解决带有大量未知事物的优化问题。-it is based on a genetic algorithm optimization method, the use of Differential Operators. It used to solve a large number of unknown things with the optimization problem.
MessageClassifier
- 数据挖掘 文本分类算法 很适应，可以轻松的学习和体会数据挖掘的奥妙-Data mining text classification algorithm is to adapt, you can easily learn and experience the concave data mining
PSO
- 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- nonlinear function optimization extreme
principal-component-analysis
- 主成份分析在模式识别中是一种特征提取方法！-a very important technique feature extraction in pattern recognazition
人工智能之八数码难题程序
- 人工智能之八数码难题程序-8 digital artificial intelligence problems procedures
PSO
- 基于粒子群优化算法PSO的非线性函数极值寻优-Based on Particle Swarm Optimization PSO optimization extreme nonlinear function
firefly-algorithm
- 萤火虫算法作为一种新颖的仿生群智能优化算法.萤火虫算法在连续空间和离散空间优化的可行性和有效性，具有良好的应用前景.-firefly algorithm (FA) is developed as a novel bionic swarm intelligence optimization method． the new bioinspired algorithm has better feasibility and validity for continuous space optimizati
shouxieshibie
- 上午上课在稿纸上画了半天，整理下思路，下午动手写的，所有模块已大概成型，本着照顾后学者，以及资源共享的原则，贴上核心的bp算法部分，已经封装好了，使用可以直接调用。三层，基本三层就可以解决我们的这些简单的问题，输入为8×8，输出4，隐层数目conts num=8 还可进一步封装，const输入层节点，输出层节点。-Morning class in the writing paper drew a long time, under the idea of finishing the afterno
fitness
- 在基本PSO算法的基础上，采用单纯体法进行初始化，并引入变异因子，同时对基本PSO算法的公式和参数进行修正。-On the basis of basic PSO algorithm, using a simple method to initialize the body, and the introduction of variability factor, while the basic PSO algorithm to correct formulas and parameters.
pso
- 运用神经网络pso的算法进行极值的搜索，并且以函数例子进行了演示。-Use grnn neural network algorithms for data prediction, and the cargo as an example for a demonstration.