资源列表
TSP_IGA
- C++实现的免疫遗传算法，解决TSP问题，适合初学者去学习。-C++ implementation of the immune genetic algorithm to solve TSP problem, suitable for beginners to learn.
hopnnexamples
- 运用MATLAB语言编写的连续型霍普菲尔德网络-using MATLAB prepared by the continuous Hopfield network
pso-bp
- 这是一个采用粒子群算法优化bp神经网络权值的MATLAB程序-This is a particle swarm optimization using neural network weights bp MATLAB program
NeuralNetworkRBF
- 这是一个利用遗传算法改进RBF程序的例子-This is a genetic algorithm using the example of procedures to improve the RBF
SAbeibao
- 人工智能/神经网络。用模拟退货算法求解背包问题-AI/neural networks. Simulated return algorithm knapsack problem
character_segmentation
- number plate recognation
k_means
- k-means聚类，聚类分析在人工智能方面多有用处，而k-means方法是最简单、最基本的一种，程序是k-means聚类方法的C++实现-k-means clustering
nerve_program
- 神经网络经典源程序，有创新，欢迎下载 -source classical neural networks, innovation, welcome to download
BPNN2
- 神经网络拟合，试用，本人用于药品浓度拟合之用-neural network fitting trial, I used drugs used concentration Fitting
SimpleGA
- 一个简单可运行的遗传算法，求取一个二次函数的最小值，代码注释清楚，非常适合初学遗传（GA）算法。-Can run a simple genetic algorithm, to obtain a quadratic function of the minimum, code comments clear, ideal for beginners genetic (GA) algorithm.
Artificial-bee-colony-algorithm
- 人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，具有较快的收敛速度和寻优精度。-Artificial bee colony algorithm is to mimic the behavior of an optimization method proposed by bees, has a faster convergence rate and optimization accuracy.
yiquansuanfa(matlab)
- 蚁群算法,简称最初是由美国加州大学伯克利大学的和为求解切比雪夫多项式而提出的一种新型无约束直接寻优算法。 -Colony algorithm, referred originally developed by the University of California at Berkeley and the University of solving Chebyshev polynomials and submitted a new unconstrained optimization alg