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  • 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 final prediction error estimate (fpe), the effective number % of Weights in the network if it has been trained with Weight decay, % an estimate of the noise variance, and the Gauss-Newton Hessian. %

    标签: generalization calculates prediction function

    上传时间: 2016-12-27

    上传用户:脚趾头

  • learning English The following appeared in a memorandum written by the vice president of Nature s Wa

    learning English The following appeared in a memorandum written by the vice president of Nature s Way, a chain of stores selling health food and other health-related products. "Previous experience has shown that our stores are most profitable in areas where residents are highly concerned with leading healthy lives. We should therefore build our next new store in Plainsville, which has many such residents. Plainsville merchants report that sales of running shoes and exercise clothing are at all-time highs. The local health club, which nearly closed five years ago due to lack of business, has more members than ever, and the Weight training and aerobics classes are always full. We can even anticipate a new generation of customers: Plainsville s schoolchildren are required to participate in a fitness for life program, which emphasizes the benefits of regular exercise at an early age.

    标签: memorandum following president learning

    上传时间: 2017-03-06

    上传用户:youth25

  • In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for un

    In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the Weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.

    标签: mean-square multiuser receiver project

    上传时间: 2014-11-21

    上传用户:ywqaxiwang

  • LwIP是瑞士计算机科学院(Swedish Institute of Computer Science)的AdamDunkels等开发的一套用于嵌入式系统的开放源代码TCP/IP协议栈。LwIP的含义

    LwIP是瑞士计算机科学院(Swedish Institute of Computer Science)的AdamDunkels等开发的一套用于嵌入式系统的开放源代码TCP/IP协议栈。LwIP的含义是Light Weight(轻型)IP协议。LwIP可以移植到操作系统上,也可以在无操作系统的情况下独立运行。LwIP协议的基础是在减少对硬件资源占用的前提下完成TCP/IP协议的主要功能

    标签: LwIP AdamDunkels Institute Computer

    上传时间: 2014-11-04

    上传用户:love1314

  • 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

  • Implementation of Edmonds Karp algorithm that calculates maxFlow of graph. Input: For each test c

    Implementation of Edmonds Karp algorithm that calculates maxFlow of graph. Input: For each test case, the first line contains the number of vertices (n) and the number of arcs (m). Then, there exist m lines, one for each arc (source vertex, ending vertex and arc Weight, separated by a space). The nodes are numbered from 1 to n. The node 1 and node n should be in different sets. There are no more than 30 arcs and 15 nodes. The arc Weights vary between 1 and 1 000 000. Output: The output is a single line for each case, with the corresponding minimum size cut. Example: Input: 7 11 1 2 3 1 4 3 2 3 4 3 1 3 3 4 1 3 5 2 4 6 6 4 5 2 5 2 1 5 7 1 6 7 9 Output: 5

    标签: Implementation calculates algorithm Edmonds

    上传时间: 2014-01-04

    上传用户:kiklkook

  • 在图形中若于个边(edge)上加上一些值

    在图形中若于个边(edge)上加上一些值,此数值称为比重( Weight ) 。而此图形称为比重图形(Weight Graph ) ,若Weight是成本( cost )或距离( distance ) ,则称此图形为网路( Network )。根据Spanning Tree的定义,知一个图形可有许多不同spanning tree ,在network中找出一个具有最小成本( Cost )的Spanning tree ,则此Spanning tree称为最小成本生成树。

    标签: edge 图形

    上传时间: 2013-12-28

    上传用户:Shaikh

  • MFA控制

    一个自适应控制方面的资料

    标签: matlab

    上传时间: 2015-03-16

    上传用户:jingchao

  • mpu6050

    Aidaohuakai( 楼主 ) 2013-8-22 11:45:24  只看该作者23307 | 41倒序浏览 论坛上对mpu6050的资料和讨论并不多,很多坛友都说驱动失败,老是显示0. 以下就谈谈我的一些血与泪的教训:    昨天开始接触mpu6050,在网上查了很多资料,下载程序,准备一展身手。首先看了mpu6050中文资料,之后又看了那个mpu6050的测试程序,把这些看明白之后就开始写程序了。我不是直接把程序复制过去,只是复制mpu6050的地址和初始化,IIC并没有复制,就复制我上次写的24C02的那个程序,想不到,这给了我血与泪的教训,我原来是直接把IIC复制过来的,并没有多留意。之后初始化mpu6050,写入地址,读出数据,下载到单片机之后,LCD上显示000001,我感到郁闷,之后又调试,以为是显示不对,又写显示,之后又下载,结果还是老样,这样半天就过去了。驱动没成功,又怀疑芯片或引脚有问题,继续调试,也没成功。就一一对应地看了地址,又看了初始化,发现没错,调试还是不成功。最后干脆不接IIC总线,竟然发现了个天大的秘密,接不接IIC,LCD都显示000001,我又用示波器测试波形,发现波形正确。在网上又查了别人的资料,在论坛上也很少有关于mpu6050的资料,也看了比别人的一些讨论。很多坛友都说驱动失败,老是显示0.    没办法,一天就这样过去了,今天早上,我又仔细看了程序,出乎我的想象,竟然是IIC的那个地址没改,原来写24C02的那个地址是a0,还是原封不动,把我吓了一跳。把这些改过来之后,一切正常,能显示加速度和陀螺仪。血与泪的教训啊,是自己不细心造成的,忘记改地址!今天早上竟然花了不到2个钟就调出来了,惊喜之时就写了这个分享,希望对大家有用。

    标签: 圆点博士小四轴

    上传时间: 2015-04-14

    上传用户:wusheng4495

  • FPGA+数字电子系统设计与开发实例导航

    介绍了 FPGA 的相关基础知识,然后分别通过 7 个在实际工程应用中的案例详细 介绍了通过 FPGA 实现 I 2C 协议要求的接口、 UART 控制器、USB 接口控制器、数字视频信号处 理器、VGA/LCD 显示控制器、CAN 总线控制器、以太网控制器的方法。

    标签: FPGA

    上传时间: 2015-05-06

    上传用户:lipeng