搜索结果

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the ...

英文版G.729语音压缩标准。 GENERAL ASPECTS OF DIGITAL TRANSMISSION SYSTEMS CODING OF SPEECH AT 8 kbit/s USING CONJUGATE-STRUCTURE ALGEBRAIC-CODE-EXCITED LINEAR-PREDICTION (CS-ACELP)

用Java实现的一个简单的寄存器分配器，用的算法是线性扫描(Linear Scan)

The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear alge ...

简单有限元计算程序。 NJF---结点自由度数 E---弹性模量 NE---单元数 T---板厚度 VM---泊松比 z---实型二维数组，用来存放结点坐标 ZJ---实型二维数组，用来存放每个约束自由度方向和该方向的约束值， ie---实型二维数组，存放布尔矩阵 p---实型一维数组，先存放等效结点载荷，解完方程后存放输出的结点位移 a,b,a---实型数 ...

MATLAB Code for Optimal Quincunx Filter Bank Design Yi Chen July 17, 2006 This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms 1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of quincunx filter banks with perfect reconstruction, linear ...

两台处理机A 和B处理n个作业。设第i个作业交给机器 A 处理时需要时间ai，若由机器B 来处理，则需要时间bi。由于各作 业的特点和机器的性能关系，很可能对于某些i，有ai >=bi，而对于 某些j，j!=i，有aj<bj。既不能将一个作业分开由两台机器处理，也没 有一台机器能同时处理2 个作业。设计一个动态规划算法，使得这两 台机器 ...

measure through the cross-entropy of test data. In addition, we introduce two novel smoothing techniques, one a variation of Jelinek-Mercer smoothing and one a very simple linear interpolation technique, both of which outperform existing methods.

Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ...

％ 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, ％ ...