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  • Genetic Algorithm example using Java You have 10 cards numbered 1 to 10. You have to divide them i

    Genetic Algorithm example using Java You have 10 cards numbered 1 to 10. You have to divide them into 2 piles so that: The sum of the first pile is as close as possible to 36 and the product of all in second pile is as close as poss to 360.

    标签: have Algorithm You numbered

    上传时间: 2017-03-08

    上传用户:lacsx

  • NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vect

    NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vector X and weight vector W. Calculate weighted sum XW. Transform this using signal or activation functions like logistic, threshold, hyperbolic-tangent, linear, exponential, sigmoid or some other functions (syntax provided) and display the output).

    标签: demonstrate artificial Functions program

    上传时间: 2013-12-30

    上传用户:hfmm633

  • Library for the 8051 microcontroller. such as math routine, hexBCD, LCD, Keyboard, I2C, Remote, Ke

    Library for the 8051 microcontroller. such as math routine, hexBCD, LCD, Keyboard, I2C, Remote, Keypad, Serial EEPROM.. ect. All lybrary function has been tested.

    标签: microcontroller Keyboard Library routine

    上传时间: 2013-11-30

    上传用户:Breathe0125

  • ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead

    ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

    标签: introduced literature Broomhead Function

    上传时间: 2017-08-08

    上传用户:lingzhichao

  • Solve the 8-puzzle problem using A * algorithme. Input: Program reads start state and goal state

    Solve the 8-puzzle problem using A * algorithme. Input: Program reads start state and goal state and heuristic (N or S) from EightPuzzle.INP file.0 representing blank. There are 2 Heuristic: 1. N: Number of misplaced tiles 2. S: Sum of Manhattan distance of current location and target location. Format: The first line write type of heuristic (N or S). Next is the status of departing and landing status. Between 2 states of 1 line blank. See examples EightPuzzle.INP

    标签: state algorithme Program problem

    上传时间: 2017-08-12

    上传用户:jjj0202

  • 第一章JSP简介 例子1(效果如图1.1所示) Example1_1.jsp: < @ page contentType="text/html charset=GB2312" >

    第一章JSP简介 例子1(效果如图1.1所示) Example1_1.jsp: < @ page contentType="text/html charset=GB2312" > <HTML> <BODY BGCOLOR=cyan> <FONT Size=1> <P>这是一个简单的JSP页面 < int i, sum=0 for(i=1 i<=100 i++) { sum=sum+i } >

    标签: contentType Example charset 2312

    上传时间: 2017-08-31

    上传用户:zycidjl

  • Java的面向对象编程 掌握类的定义以及继承机制

    Java的面向对象编程 掌握类的定义以及继承机制,熟悉方法的多态性。1、 成下面父类及子类的声明:(1)声明Student类。属性包括学号、姓名、英语成绩、数学成绩、计算机成绩和总成绩。方法包括构造方法、get方法、set方法、toString方法、equals方法、compare方法(比较两个学生的总成绩,结果分大于、小于、等于)、sum方法(计算总成绩)和testScore方法(计算评测成绩,即平均成绩

    标签: Java 对象 定义 编程

    上传时间: 2017-09-12

    上传用户:ecooo

  • 记录学生的信息 :(1)声明Student类。属性包括学号、姓名、英语成绩、数学成绩、计算机成绩和总成绩。方法包括构造方法、get方法、set方法、toString方法、equals方法、compa

    记录学生的信息 :(1)声明Student类。属性包括学号、姓名、英语成绩、数学成绩、计算机成绩和总成绩。方法包括构造方法、get方法、set方法、toString方法、equals方法、compare方法(比较两个学生的总成绩,结果分大于、小于、等于)、sum方法(计算总成绩)和testScore方法(计算评测成绩,即平均成绩)。

    标签: toString Student equals compa

    上传时间: 2014-11-21

    上传用户:q123321

  • LatentSVM论文

    The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.

    标签: 计算机视觉

    上传时间: 2015-03-15

    上传用户:sb_zhang

  • oracle查询语句

    最近在学习Oracle,对测试人员而言必须掌握两种语言:第一种是DML,数据操纵语言 (Data Manipulation Language) 是SQL语言中,负责对数据库对象运行数据访问工作的指令集,以INSERT、UPDATE、DELETE三种指令为核心,分别代表插入、更新与删除。第二种是:DQL,数据查询语言 (Data Query Language) 是SQL语言中,负责进行数据查询而不会对数据本身进行修改的语句,这是最基本的SQL语句。核心指令为SELECT,以及一些辅助指令,如FROM、WHERE等,FROM:表示来源,可以搭配JOIN做链接查询; WHERE:过滤条件;GROUP BY:在使用聚合函数时用到,如SUM,COUNT,MAX,AVG;HAVING:对聚合结果进行筛选,这是和WHERE的不同点;ORDER BY:排序。

    标签: oracle 基础 资料

    上传时间: 2016-09-15

    上传用户:天涯云海