资源列表
BPshixong
- 利用MATLAB仿真环境实现神经网络的源程序！-Simulation environment using MATLAB neural network to achieve the source!
DataFitter.tar
- 使用多项式进行数据拟合。手动选择多项式项数。 注意，项越多拟合越精确，但却会产生更复杂的结果，导致不能有效预测未来的数据（机器学习的内容）-Data using polynomial fitting. Manually select the number of polynomial terms. Note that the more fit the more precise term, but will produce more complex results, leading to the
GAST
- 采用遗传算法来解决旅行商问题，详细讲解算法的原理及其相应的实现步骤。-Genetic algorithm to solve the traveling salesman problem, explain in detail the principles of the algorithm and its corresponding implementation steps.
YIQun
- 采用蚁群算法实现旅行商问题，才有C++编程实现。-Traveling salesman problem using ant colony algorithm, only C++ programming.
meanS3VM
- MissSVM是一揽子解决多实例使用半监督支持向量机的学习问题。MissSVM目的是显示，如果假设IID实例，多实例学习可以作为一个半监督学习的特殊情况来看，可能会合并成半的领域和多实例学习领域监督学习。 因此，未来的多实例学习研究应只承担IID袋，避免IID实例假设。 -MissSVM package solution is to use multi-instance semi-supervised support vector machine learning problems. MissS
nnf_test
- 神经网络bp算法逼近函数仿真，给出了一组数据的逼近结果-Bp neural network algorithm for approximating function simulation, given a set of data approximation result
GA1
- 遗传算法的matlab基础程序，对初学者很有用，以后可以改进-The matlab genetic algorithm-based program, very useful for beginners, since you can improve
foreigner-write-PSO
- 智能优化算法：粒子群优化算法（PSO）应用于神经网络优化程序-intelligence optimization algorithm of pso
balance-car
- 两轮自平衡小车自适应神经网络模糊控制研究-Two self-balancing car adaptive neural network fuzzy control
robot
- 通过AVR单片机来控制两轮自平衡机器人 -Through the AVR microcontroller to control the two self-balancing robot
BPToNonlinear
- 基于BP算法的神经网络实现非线性分类，用matlab编程-nonlined classifying
PSObeibao
- 粒子群算法解决背包问题，使用PSO解决背包问题-PSO algorithm to solve the knapsack problem, solve the knapsack problem using PSO