代价函数的英文

• cost function

• "代价"英文翻译    price; cost
• "函数"英文翻译    function
• "最小代价函数估计" 英文翻译 :    minimum cost estimate; minimum-cost estimate; minimum-costestimate
• "等价函数" 英文翻译 :    equivalent functions
• "共价函数" 英文翻译 :    covalence function
• "估价函数" 英文翻译 :    evaluation function
• "评价函数" 英文翻译 :    evaluation function; score function
• "等价函数序列" 英文翻译 :    equivalent sequences of functions
• "渐近等价函数" 英文翻译 :    asymptotically equivalent function
• "静态评价函数" 英文翻译 :    static evaluator
• "评价函数列表" 英文翻译 :    merit function listing
• "衍射评价函数" 英文翻译 :    diffraction-based merit function; diffraction-basedmeritfunction
• "一致等价函数" 英文翻译 :    uniformly equivalent function
• "语义评价函数, 语义计算函数" 英文翻译 :    semantic valuation function
• "代价" 英文翻译 :    price; cost 不惜任何代价 prepared to pay any price; at any cost; at all costs; 付出很高代价 pay a high price (for); 代价券 scrip
• "等价函子" 英文翻译 :    equivalent functors
• "询价函件" 英文翻译 :    letter of enquiry
• "报价函与回复" 英文翻译 :    offersandreplies
• "询价函与回复" 英文翻译 :    enquiriesandreplies
• "代价；约价" 英文翻译 :    consideration
• "代价牌" 英文翻译 :    token
• "代价券" 英文翻译 :    token
• "价格；代价" 英文翻译 :    price
• "替代价" 英文翻译 :    substitute valence
• "以…代价" 英文翻译 :    at the cost of

• An on - line whitening algorithm for blind source separation based on cost function
  基于代价函数的盲分离在线白化算法
• The adjustment does not apply to user - defined cost functions for domain indexes
  注意：调整对用户为域索引自定义的代价函数无效。
• ( 2 ) worse non - linear cost function is existed , so the location error is big
  ( 2 )算法中存在严重的非线性代价函数,定位精度不高。
• We construct cost function which combines the likelihood function and boundary constraint function
  它利用似然函数和边界约束方程构造代价函数，来描述区域特征。
• This paper overviews some commonly used cost function of the adaptation algorithms that minimize them and analyse convergence simply
  论述了这些算法的代价函数最小化问题，并对它们的收敛性作出了简单的分析。
• A new cost function based on the diagonalization of correlation matrices is proposed to measure the independency of output signals
  摘要提出了一种新的基于相关矩阵对角化的代价函数作为衡量输出信号独立性的测度。
• In order to expand the search space and decrease the crosscorrelation among the sub - sources , non - linear transform is made for the cost function
  为了扩大搜索空间，降低各信源之间的互相关性，将代价函数进行了非线性变换。
• On the basis of block initial segmentation , simulated annealing algorithm is used to get the optimal initial segmentation which minimizes the cost function
  在块状初始分割的基础上，利用模拟退火算法获得代价函数最小的初始分割。
• In particular , when the number of neurons in hidden layer equals the number of training patterns , the global minima with zero cost functions are obtained
  一个特例是当隐层神经元的个数与样本个数相等时，就可以求得代价函数值为0的全局最小点。
• A cost function is explored by considering the independence of the improper sources , and the online separation algorithm is then deduced with descending gradient
  结合非常态信号的独立性，构造出代价函数，利用梯度下降法推导出在线盲分离算法。