k-step ahead predictions determined by simulation of the % one-step ahead neural network predictor. For NNARMAX % models the residuals are set to zero when calculating the % predictions. The predictions are compared to the observed output. %
标签: ahead predictions determined simulation
上传时间: 2016-12-27
上传用户:busterman
this is a download speed up tool at the internet
标签: download internet speed this
上传时间: 2014-01-12
上传用户:498732662
FOR ADS STUDY ,ABOUT ADS APPLY AND STEP.
上传时间: 2017-01-07
上传用户:417313137
up-techpxa270 bootloader 文件
标签: up-techpxa bootloader 270
上传时间: 2017-01-08
上传用户:stella2015
step motor driver, very important c code.thanks.
标签: important driver thanks motor
上传时间: 2017-01-12
上传用户:515414293
电力市场下确定无功源价值的方法探讨 因此提出了4种确定无功价值的方法:Vs法、PV曲线法、ERC法和Back.up法,分析了不同方法 的特点,最后以IEEE30节点系统为例进行了仿真计算,仿真结果表明无功源的价值取决于电网的结 构、无功源的位置以及系统的运行状态。
上传时间: 2017-01-17
上传用户:003030
void Knight(int i , int j) { // printf("%d %dn",i,j) if (board[i][j] != 0 || i < 0 || i >= Size || j < 0 || j >= Size ) { return } step++ board[i][j]=step if (step == Size*Size) { showboard() system("PAUSE") return } //DFS Knight(i-2,j-1) //left Knight(i-2,j+1) Knight(i+2,j-1) //right Knight(i+2,j+1) Knight(i-1,j-2) //up Knight(i+1,j-2) Knight(i+1,j+2) //down Knight(i-1,j+2) // board[i][j]=0 step-- }
上传时间: 2014-01-17
上传用户:cxl274287265
算法设计的实验报告 包括Bottom-Up Merge Sorting算法、插入排序算法Heaps的创建堆、堆排序算法、按秩合并算法以及带路径压缩算法、实现查找第K小元素算法、实现快速排序算法、实现平面内最接近点对算法、实现最长公共子序列算法、实现矩阵链相乘算法、实现0/1背包问题算法、实现Dijistra’s算法、Prim算法、Kruskal算法、文件压缩算法
标签: Bottom-Up Sorting Merge Heaps
上传时间: 2017-02-02
上传用户:恋天使569
bootup code for Barebone, it s useful for bring up new chip
标签: for Barebone bootup useful
上传时间: 2017-02-13
上传用户:ryb
Input : A set S of planar points Output : A convex hull for S Step 1: If S contains no more than five points, use exhaustive searching to find the convex hull and return. Step 2: Find a median line perpendicular to the X-axis which divides S into SL and SR SL lies to the left of SR . Step 3: Recursively construct convex hulls for SL and SR. Denote these convex hulls by Hull(SL) and Hull(SR) respectively. Step 4: Apply the merging procedure to merge Hull(SL) and Hull(SR) together to form a convex hull. Time complexity: T(n) = 2T(n/2) + O(n) = O(n log n)
标签: contains Output convex planar
上传时间: 2017-02-19
上传用户:wyc199288