资源列表
liziqun
- 该程序是基于粒子群算法的多目标搜索算法，有很好的搜索结果，程序有详细的说明。-The program is multi-objective search algorithm based on particle swarm optimization, good search results, the program is described in detail.
Machine-Learning
- 机器学习的课件，包括神经网络、决策树、贝叶斯学习、高级搜索等内容-Machine learning courseware, including neural networks, decision trees, Bayesian learning, Advanced Search
shuiqtl
- 用于气象中的垂直积分水汽通量及水汽通量散度的gs和ctl，主要适用于合成分析-Mainly applied to the composite analysis for Meteorology vertically integrated water vapor flux and water vapor flux divergence gs and ctl
agridatasets
- 来自新西兰的农业研究人员获得的一种含有6个农业数据集-A rarfile containing 6 agricultural datasets obtained from agricultural researchers in New Zealand
datasets-arie_ben_david.tar
- 阿里本·大卫博士捐赠的顺序，现实世界的数据集，用于数据挖掘-A gzip ed tar containing ordinal, real-world datasets donated by Dr. Arie Ben David。
ckf123
- 容积卡尔曼滤波源程序，容积卡尔曼滤波源程序-cubature Kalman filter source, cubature Kalman filtering ，matlab
mdt-r2_1_2
- 神念科技TGAM模块资料手册。TGAM数据解析源程序，头文件。-The concept of God Technology TGAM Module Data Manual. TGAM data parsing source code, header files.
biosig4octmat-2.81.tar
- 最新版的biosig4octmat程序，适用于EEG信号的特征提取和分类，以及分类器的性能评价-The the the latest version biosig4octmat program applies to EEG signal feature extraction and classification, and the performance evaluation of the classifier
BP-neural-networks-algorithm
- 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法:Gauss变异动态调整BP算法中学习率参数和冲量系数-This program is a three-layer error back propagation feedforward neural networks supervised learning algorithm: the Gauss variation dynamically adjusts the learning rate in BP algorithm paramet
fbmtools
- 柔性贝叶斯模型和马尔科夫链抽样的Matlab工具箱，很是实用-FBM matlab toolbox is a "Software for Flexible Bayesian Modeling and Markov Chain Sampling" written by Radford Neal.
CEC-09-MOEA-Competition
- 在国际性的Multiobjective Optimization Algorithms/CEC 09 MOEA Competition中获得前五名的MOEA算法的论文和源代码，很值得参考和借鉴。 -Performance Assessment of Multiobjective Optimization Algorithms/CEC 09 MOEA Competition
Vector_Control_of_Induction_Machines_Desensitisat
- A Book about Vector Control of Induction Machines Desensitisation and Optimisation Through Fuzzy Logic