搜索资源列表
exadoce_src
- wince 下面有关ADOCE方面的库操作code！-weights below the ADOCE aspects of the library operation code!
2级列表
- 基于wince的smartphone上二级列表的实现-smartphone based on the weights of the realization of two lists
demowince
- 一个简单的wince的demo,内有wince的基本空间的用法,非常详细,可以考虑以用-a simple demo weights, weights are the basic space usage, in great detail, we can consider using the
第七章第八节实例
- 使用EVC开发“度量衡换算器”完整实例编程。 程序短小易懂，适合于WINCE开发的初学者-use EVC development "Weights and Measures Converter" complete programming examples. Short comprehensible procedures, suitable for beginners pulled Development
javasom_1[1].0.0
- Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows
Kruskal.cpp
- 在权值不同的图中寻找一个最小生成树的问题-different weights in the map to find a minimum spanning tree problem
PingExample
- wince下的ping编程.实现主机探测,路由维护,路由选择,流量选择的功能.本例程使用一个数据包来探测主机地址是否存活.()当然再主机没有配置成过虑icmp形式.内含工程文件-ping weights under the program. To achieve mainfr a me detection, routing maintenance, routing, flow selection of functions. The r
Series
- wince下的串口程序，我测试过的，在WINCE4。2上，正常运行，但是速度不能很快，会引起指针错误-weights under the Serial procedures, I tested, in WINCE4. 2, the normal operation, but not the speed soon, it will cause the wrong target
cw1
- 此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference
ProSOM
- SOM的学习规则有三个主要阶段： 1）寻找与输入模式xk最接近的连接权向量Wj*=（wj*1, wj*2,….., wj*N） 2）将该连接权向量Wj*进一步朝向与输入模式xk接近的方向调整 3）除调整连接权向量Wj*外，还调整邻域内的各个连接权向量，并随着学习次数的增加，逐渐缩小邻域范围-SOM learning rules are three main stages : 1) Find the input mode xk
display_result
- 该程序专门用于检验bp神经网络的连接权值-devoted to the testing procedures bp neural networks and the connection weights
change-making
- acm换钱的算法，主要检查货币的度量衡是否可以用贪心法-acm exchange algorithms, the main currency of the Weights and Measures to check whether the greedy method can be used
weightpercent
- Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights
wf
- 神经网络的一个例子，matlab编程，训练权值-An example of neural networks, matlab programming, training, weights
libsvm-weights-2.9
- 数据属性的权重分析. 用户可以给每个数据实例权重-Weights for data instances Users can give a weight to each data instance.
adaboost_version1b
- 最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解-This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak
5-weights-weighed
- 5个砝码用天平称重时,我们希望用尽可能少的砝码组合称出尽可能多的重量。如果只有5个砝码,重量分别是1,3,9,27,81。则它们可以组合称出1到121之间任意整数重量-The 5 weights weighed in the balance, we want to use as little as possible weight combinations, said as much weight. If only five weight
genetic--BP-weights-and-threshold
- 利用遗传算法优化BP神经网络权值和阈值的matlab-The use of genetic algorithm to optimize BP neural network weights and threshold
Gauss-quadrature-nodes-and-weights.
- computing the nodes and weights of Gauss-Legendre quadrature.
fast-weights-master
- 论文using fast weights to attend the recent past代码(using fast weights to attend the recent past)