资源列表
Basic-algorithm-genetic-algorithm-
- 遗传算法基本算法 遗传算法基本算法-Basic algorithm genetic algorithm genetic algorithm genetic algorithm basic algorithm basic algorithm
genetic-algorithm
- 基本遗传算法的函数最优化(预选择机制) 根据源码改编-The most basic function of genetic algorithm optimization (pre-selection mechanism)
Hierarchical-genetic-algorithm-
- 分层遗传改进算法函数最优化,根据遗传算法源码改编-Hierarchical genetic algorithm function optimization, genetic algorithm source code adapted according to
any-randomized-crossover
- 函数最优化任意随机交叉父体,根据遗传算法源码改编-OPTIMIZATION any randomized crossover parent body, according to the source adapted genetic algorithm
MPSO
- 这是引入了附加学习因子的的粒子群优化算法，对于学习智能优化算法的同学很有帮助,算法中包含注释，且保证可以运行-This is the introduction of additional learning factor particle swarm optimization algorithm, intelligent optimization algorithms for the students to learn helpful
train_fmmnn
- 模糊极大极小神经网络，新型神经网络用于分类.-fuzzy min-max neural network
CFAPSO
- 引入约束因子的粒子群优化算法,通过引入约束因子，提高了标准粒子群的性能
Bp-neural-network-algorithm
- 人工神经网络算法，课本上copy下来的，希望对大家有所帮助，适合初学者-Artificial neural network algorithm, textbooks copy down, we want to be helpful for beginners
RBF-
- 基于RBF网络逼近的自适应控制,内部包含三个m文件和一个simulink的文件，可以直接运行。-Based on RBF network approximation of adaptive control, interior contains three m file and a simulink file can be run directly.
NBclassfier
- 贝叶斯情感分类器,基于五倍交叉法来验证。程序可以直接运行，改程序是在基于已经分词的情况下实施的。-Bayesian classifier, emotion to verify five times based on the crossover. Program can be run directly, the program is based on the segmentation of the case.
CPSO
- 用CPSO算法求解带约束的函数优化问题。目标函数为f=(x(3)+2)*x(2)*x(1)^2，求其最小值；约束为g(1)=1-x(2)^3*x(3)/(71785*x(1)^4) g(2)=(4*x(2)^2-x(1)*x(2))/(12566*(x(2)*x(1)^3-x(1)^4))+1/(5108*x(1)^2)-1 g(3)=1-140.45*x(1)/(x(2)^2*x(3)) g(4)=(x(1)+x(2))/1.5-1 决策变量取值范围：x1-[0.05,
crbm-drum-patterns-master
- 基于鼓模式的受限玻尔兹曼机的音频分类 能够将不同音乐器材所发出的声音进行训练后进行分类-Drum patterns based restricted Boltzmann machine audio classification can be different the sound of musical instruments can be trained to classify