资源列表
deep-learning
- 深度学习主要通过人工神经网络的思想发现数据的分布式特征表示-Deep learning discovers the distributed representation through artificial neural network.
huiseyuce
- 灰色预测算法程序，可以运行，应用于matlab中-gray prediction
crane_optimation_boundry_conditions
- 起重机臂架优化的边界条件文件，配合遗传算法工具箱使用，实现多参数优化配置。-the boundary condition for the optimization of crane jib，combining thegenetic algorithm toolbox to use
BP
- BP 神经网络在起重机方面的应用，可用于预测应力谱-The application of BP neural network in crane can be used to predict stress spectrum
Neural-fuzzy--matlab
- 神经模糊预测控制及其matlab实现（第3版）配套matlab程序-Neural fuzzy predictive control and its matlab implementation (Third Edition) supporting the matlab program
monituihuo
- 用matlab转成的模拟退火算法的c++代码，文件较多。模拟退火解决的是30个城市的tsp问题-Using matlab into the simulated annealing algorithm c++ code, more documents. Simulated annealing is a 30-city tsp problem
SVM-RFE-CBR-v1.3
- 在生物信息学中，SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。-SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
Face-Detection
- 在机器学习中，使用伽柏特征提取和神经网络来进行人脸检测。 -Face Detection using Gabor feature extraction and Neural Network
bGWO
- 这个文件夹包含实现二进制灰太狼优化器，以包装模式进行特征选择。 -This folder contains implementation for the binary grey wolf optimizer applied for feature selection in wrapper mode.
Bat-Selection
- 这是一种蝙蝠特征选择，其目标是从一个给定的一组特征中找到最重要的信息，优化数据-This code use as optimization of data by row or coulmn Feature selection aims to find the most important information a given set of features
confusion-matrix
- 模式识别中可用来计算精度、错误率，敏感性、以及假阳性等-In the pattern recognition can be used to calculate the precision, error rate, sensitivity, and a false positive
jboost-code-
- 一种把若干个弱分类器整合为一个强分类器的算法boost的一种改进算法-A kind of integrating a number of weak classifier for a strong classifier algorithm ,it san improved algorithm of the boost