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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 ...
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
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。 ...
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 ...
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,
％ ...
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 ...
技术管理 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 leadin ...
通讯/手机编程 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 ...
嵌入式/单片机编程 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 ...
其他 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 functio ...