资源列表
FS
- 模糊神经网络预测地基沉降量（神经网络实用教程中源码）-Fuzzy neural network prediction of foundation settlement [neural network practical tutorial source]
Selforg
- 自组织特征映射网络进行图像分类识别（神经网络实用教程）-Self-organizing feature map network image classification Recognition [Neural Network Practical Guide]
ABookAboutStatistics
- 是一本很好的讲解统计理论模式识别知识的书籍。理论深度很深。适合数学专业的学生深入学习。-Are a very good knowledge on the statistical theory of pattern recognition books. Theoretical depth deep. Math for students studying in depth.
RS reducta priori regression
- 基于粗糙集的知识约简算法和采用回归进行的知识约简表示-Based on Rough Set Knowledge Reduction Algorithm and the use of regression express the knowledge reduction
svmclass
- 采用经典的机器学习分类算法SVM，对训练样本进行训练和学习，来实现对预定目标的分类。-Using the classic machine learning classification algorithm SVM, the training samples for training and study to achieve the intended target of the classification.
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序，可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
TSP
- 各种算法的TSP源码，包含GA、SA、TS、ANN。-TSP source of various algorithms, including GA, SA, TS, ANN.
yuandaima
- 基于遗传算法，针对考试系统的自动出题问题，应用矩阵理论的知识，为自动组卷系统建立了一个合适的数学模型，使我们能在数学模型的基础上，应用遗传算法全局寻优和智能搜索的特性，在试题的各种属性满足数学模型的控制指标的基础上，从题库中既好又快的抽出一组符合考方要求的试题，从而得到一份满意的试卷。-Based on genetic algorithms, automatic test system for the title problem, the application of matrix theory
BPprediction
- BP神经网络预测程序 第一行的第二个数据表示train_flowoutput第一行的第二个数据对应预测日前一天2点的时用水量，第二行的第二个数据表示train_flowoutput第一行的第二个数据对应预测日前一周2点的时用水量，其余的数据与train_flowoutput相对应，每一行有288个数据。-BP neural network prediction program
FUZZCLUST
- 用matlab编写的各种聚类算法的代码，可作为聚类的程序包使用，对于程序编写者和使用者都可提供便利-matlab for cluster
dsplit
- vc编写的模式识别的分类程序，可以对手写数字和图片数字进行识别-vc prepared pattern recognition classification procedures, can be hand-written picture figure figure and identify ~ ~
datainit
- 神经网络训练样本归一化程序，并能均匀的分离训练样本和检验样本-Neural network training samples normalized procedures, and uniform separation of training samples and testing samples