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lei
- 编写一个Java程序，设计一个运输工具类Transport，包含的成员属性有：速度pace、载重量load；汽车类Vehicle是Transport的子类，其中包含的属性有：车轮的个数wheels和车重weight；飞机Airplane类是Transport的子类其中包含的属性有：机型enginertype和发动机数量enginers。每个类都有相关所有数据的输出方法。-Write a Java program, the design of a transport type Transport,
tex_strip
- 这个工具是MTeX套装中的一个重要命令行工具，可用于删掉tex文件中的整行注释，从而为tex文件减肥。-This tool is packaged MTeX an important command-line tool that can be used to delete tex document notes the entire line, so as to lose weight tex file.
Football-team-member-system
- 球队队员的管理，包括球员年龄，身高，体重的统计，工资派发-The management of players, including players age, height, weight statistics, the distribution of wages
collection_treeset
- 运用java 实现Kruskal 算法 计算树的重量最小 覆盖最大-Java application Kruskal algorithm to achieve the weight of the smallest tree cover the largest
TinyCA2
- MiniCA减肥修正版 大部分源码来自王雪松的原作以及OpenSSL。（文件名基本保持原样，和USBKEY没有任何关系。) -Most weight loss MiniCA amended version of the original source from Xuesong and OpenSSL. (File name basically remain as it is, and has nothing to do USBKEY.)
fixed_increment_method
- 该程序可实现将样本集转化为增广模式向量，固定增量法求解权向量。-The program can be realized sample set will be translated into augmented model vector, fixed incremental weight vector method.
2
- 编写一个程序，有一个汽车类vehicle，它具有一个需传递参数的构造函数，类中的数据成员车轮个数wheels和车重weight是保护类型；一个轿车类car是vehicle的公有派生类，其中包含载人数passenger；一个卡车类truck是vehicle的公有派生类，其中包含载人数passenger和载重量payload。每个类都有相关数据的输出方法。-The preparation of a program, there is a car-type vehicle, it has a need
ACESimpleClient002
- will be saved, which avoids redoing the complex calculation each time. So, for what will those display list be useful to draw text? Well, when you create your font (with a specific typeface, height and weight), all the characters that need to be re
ACESimpleClient004
- create the font for the specified typeface (e.g. "Arial", "Times New Roman",...), with a specific height and weight (the weight specifies the thickness of the font). Once the font has been created successfully, you can call DrawText to draw the text
MOEA
- 本例程解决了一个两个目标的优化问题，采用的是权重系数法求解。求解过程中采用了代沟。程序中有详细的注释-This routine solves a two-goal optimization problem, using the weight coefficient method. Solving process used in the generation gap. Procedures are detailed in the Notes
fama
- 4个砝码，每个重量都是整克，总重量是40克，天平可以称出1-40克的物体，问这4个砝码各是多少克。循环语言的学习-Four weights, each weight is the entire grams, total weight is 40 grams, the balance can be said of 1-40 grams of objects and asked which of the four is the number of grams of weight. Cycle of
HuffmanTree
- 霍夫曼编码的实现，先输入霍夫曼编码的个数，然后输入编码，然后输入权重，最后输出是霍夫曼编码-Huffman coding to achieve, first enter the number of Huffman code, and then enter the code, then enter the weight, the final output is the Huffman code
spanningtree
- 求解最小生成树问题，输入邻接矩阵权值，可以得到结果，使用于数据结构、图论和运筹学.-Solve the minimum spanning tree problem, enter the weight adjacency matrix, can be the result of the use of data structures, graph theory and operations research.
GaussianNormalize
- 高斯内部归一化。 当一个特征中的各个分量具有不一样的权值时，应该把他们归一化到具有相同的权值。-Gaussian internal normalized. When a feature of the various components have not the same as the right value, they should be normalized to have the same weight.
fpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of
getgrad
- Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the functions NNPRUNE and NNFPE.-Produces a matrix of derivatives of network output wrt each network weight for use in the functions NNPRUNE and NNFPE.
nnfpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,Ne
107215828somtoolbox3
- 酒吧老板价格表vbkkljl个ipfgik皮带 东风康帕斯飞 帕斯克哦佛i 日减肥假话骗人 欧冠欧赔健康的飞机-Bar owner vbkkljl months Price List ipfgik belt Kompass fly Dongfeng Gregory Pasko Buddha Oh i deceptive lie on weight loss and healthy European Champions aircraft
weightedVQ
- vector quantization with the weight for the speaker recognization-vector quantization with the weight forthe speaker recognization