资源列表
gjd
- 认识了解 算法中高精度的算法 掌握如何去进行高精度的计算 换算-Precise knowledge about the algorithm to learn how to conduct high-precision algorithm for the calculation of conversion
matlab_toolbox_fast_marching
- 水平集的快速行进方法,是一种水平集的求解方法,对研究水平集的朋友很有用-This is a method of level set,adopting fast marching. It is very usefull to everyone.
fcm
- 模糊C均值方法，将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
jianhuatongbu
- 简化洛伦兹系统的同步方法编程，具有可通用性，简单易学-Simplify the programming of synchronization of Lorenz system has can be versatile, easy to learn
Big_num
- 超大数运算，实现了加法，减法，乘法，以及幂运算-Large number of calculations, to realize the addition, subtraction, multiplication, and exponentiation
NSGAII
- NGAII变成程序求解经济调度，是多目标的，内涵PDF文件-NGAII into economic dispatch, solving process is the goal, the connotation of PDF files
New_MPso
- 基于非列排序经济调度问题，比其它算法更好，收敛更好-Based on the column sorting economic scheduling problem, than other algorithms, convergence is better
SpeakCsharp
- 人工智能，先必须安装Microsoft的SDK,安装完毕后启动程序，如果没有安装程序的话代码里面有程序的下载地址，直接参考哪儿就行。-Artificial intelligence, first you must install Microsoft' s SDK, start the program after installation without the installer, then the code inside the program download, direct refe
GA_for_clustering
- Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior.
classification
- classification algorithm. We use the genetic algorithm and a training data set to learn real-valued weights associated with individual attributes in the data set. We use the k nearest neighbors algorithm to classify new data records based on their we
p1
- hallenge to the use of supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm for rule extraction from artiÞ cial neural networks is developed. T