资源列表
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
p2
- An effectual genetic coding is designed by constructing fullclassification rule set. This coding results in full use of all kinds of excellent traits of genetic algorithm in data classification. The genetic algorithm is paralleled in process. S
p3
- mining technique that discovers comprehensible IF-THEN rules using a generalized uniform population method and a uniform operator inspired from the uniform population method. Initial population is generated by methodically eliminating the randomn
p4
- paper we explore the use of an adaptive search technique (genetic algorithms) to construct a system GABEL which continually learns and refines concept classification rules from its interaction with the environment. The performance of the system is me
lagra
- 使用线性方程组求系数构造插值公式相对复杂，可改用构造方法来插值。 对节点xi(i=0,1,…,n)中任一点xk(0<=k<=n)作一n 次多项式lk(xk)，使它在该点上取值为1，而在其余点xi(i=0,1,…,k-1,k+1,…,n)上为0，则插值多项式为Ln(x)=y0l0(x)+y1l1(x)+y2l2(x)+…+ynln(x) 上式表明：n 个点xi(i=0,1,…,k-1,k+1,…,n)都是lk(x)的零点。可求得lk -Demand coefficient
VisualBasic
- PROTEL的一些常用库元件，对开发人员非常有好处-PROTEL of some commonly used library elements of the developers are very good