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找到约 93 项符合 column-weight 的查询结果

其他 构造哈夫曼树 哈弗曼树中没有度为一的节点

构造哈夫曼树 哈弗曼树中没有度为一的节点,是标准的二叉树,所以有n个叶子结点时,需要一个长度为2n-1的一维数组存储哈弗曼树的结点。 (1)、n个叶子节点只有weight权值,处理非叶子节点,从ht[i](ht[1]~ht[n-1])中找到ht[i].weight最小的两个节点ht[s1]和ht[s2],这就是Select(int n,int &s1,int & s2,HTNode *ht)函数完 ...
https://www.eeworm.com/dl/534/307708.html
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其他 ofdm信道特性 Channel transmission simulator Channel transmission simulator % % inputs: % sig2 - noi

ofdm信道特性 Channel transmission simulator Channel transmission simulator % % inputs: % sig2 - noise variance % Mt - number of Tx antennas % Mr - number of Rx antennas % x - vector of complex input symbols (for MIMO, this is a matrix, where each column % is the value of the antenna outputs a ...
https://www.eeworm.com/dl/534/323173.html
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人工智能/神经网络 学上的基本神经元

学上的基本神经元,人工的神经网络也有基本的神经元。每个神经元有特定数量的输入,也会为每个神经元设定权重(weight)。权重是对所输入的资料的重要性的一个指标。然后,神经元会计算出权重合计值(net value),而权重合计值就是将所有输入乘以它们的权重的合计。每个神经元都有它们各自的临界值(threshold),而当权重 ...
https://www.eeworm.com/dl/650/324976.html
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通讯/手机编程 j2me设计的界面包

j2me设计的界面包,很漂亮实用。 light weight UI toolkit
https://www.eeworm.com/dl/527/360909.html
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单片机开发 * The keyboard is assumed to be a matrix having 4 rows by 6 columns. However, this code works for an

* The keyboard is assumed to be a matrix having 4 rows by 6 columns. However, this code works for any * matrix arrangements up to an 8 x 8 matrix. By using from one to three of the column inputs, the driver * can support "SHIFT" keys. These keys are: SHIFT1, SHIFT2 and SHIFT3.
https://www.eeworm.com/dl/648/366564.html
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Java编程 编写一个Java程序

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。 ...
https://www.eeworm.com/dl/633/367357.html
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matlab例程 This function calculates Akaike s final prediction error % estimate of the average generalization e

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 % weights in the network if the network has been train ...
https://www.eeworm.com/dl/665/384088.html
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人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p

% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a set of corresponding input-output pairs and an initial % network, % ...
https://www.eeworm.com/dl/650/384092.html
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人工智能/神经网络 This function calculates Akaike s final prediction error % estimate of the average generalization e

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,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) % produces the fin ...
https://www.eeworm.com/dl/650/384094.html
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matlab例程 This software is a Matlab implementation of restricted sampling from Gaussian distribution, and samp

This software is a Matlab implementation of restricted sampling from Gaussian distribution, and sample x (column vector) from N(x_mu, x_var), restricted in x_min<=x<=x_max.
https://www.eeworm.com/dl/665/385468.html
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