资源列表
upload4
- 使用模拟退火算法解决旅行商问题 程序框架中的Annealing.java文件，Annealing.java实现了Inter.java接口中的函数。接口函数getStrategy是一个返回类型为void的函数，函数的输入参数是一个字符串，代表输入文件的文件名-The use of simulated annealing algorithm to solve the TSP program in the framework of Annealing.java files, Annealing.j
upload5
- 遗传算法求解旅行商问题。在n=20的情况下依然能90 以上获得正确解。-Genetic Algorithm for Traveling Salesman Problem. In the case of n = 20 can still obtain the correct solution for more than 90 .
max_relation
- 其基本原理是使图像中目标和背景的相关总量最大的阈值为最优分割阈值-This paper combines one dimension Maximal Correlative Criterion and two dimension Maximal Correlative Criterion to estimate the neuron parameters
SMO
- SVM中的序列最小最优化算法(Sequetial Minimal Optimization)。-SVM in the sequential minimal optimization algorithm (Sequetial Minimal Optimization).
BP
- 基于BP神经网络的客户流失分析分类，用java实现。-BP neural network based on customer churn analysis classification, using java to achieve.
Hopfield
- matlab使用hopfield神经网络实现数字识别，加入噪声后，也可以识别出来！-matlab neural network using the hopfield digital identification, adding noise, can also be identified!
car_brands_identified
- 使用基于matlab的神经网络，实现的汽车牌照识别。-Matlab-based neural network to realize the car brands identified.
GA2
- 遗传算法--分层遗传改进算法函数最优化。在基本遗传算法基础上假如分层概念。-Genetic Algorithms- Hierarchical Genetic Algorithm to optimize the function. In the basic genetic algorithm based on the concept that if layered.
GA1
- 遗传算法--遗传算法基本算法。遗传算法所有改进算法的基础。最基础的GA。-Genetic algorithms- the basic algorithm of genetic algorithm. Improved genetic algorithm for all algorithms. The most basic GA.
GA4
- 遗传算法--基本遗传算法的函数最优化(预选择机制)。保留每代中最优秀的个体进行遗传。-Genetic algorithms- the basic genetic algorithm function optimization (pre-selection mechanism). To retain the best in every generation genetic individuals.
GA5
- 遗传算法--自适应遗传优化算法函数最优化.-Genetic Algorithms- Adaptive genetic algorithm function optimization.