*** *** *** *** *** *** ***** ** Two wire/I2C Bus READ/WRITE Sample Routines of Microchip s ** 24Cxx / 85Cxx serial CMOS EEPROM interfacing to a ** PIC16C54 8-bit CMOS single chip microcomputer ** Revsied Version 2.0 (4/2/92). ** ** Part use = PIC16C54-XT/JW ** Note: 1) All timings are based on a reference crystal frequency of 2MHz ** which is equivalent to an instruction cycle time of 2 usec. ** 2) Address and literal values are read in octal unless otherwise ** specified.
標(biāo)簽： Microchip Routines Sample WRITE
上傳時(shí)間： 2013-12-27
上傳用戶：ljmwh2000
Muscl Euler Two dimensions
標(biāo)簽： dimensions Muscl Euler Two
上傳時(shí)間： 2013-12-07
上傳用戶：363186
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.
標(biāo)簽： cross-entropy introduce smoothing addition
上傳時(shí)間： 2014-01-06
上傳用戶：qilin
％ 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, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標(biāo)簽： Levenberg-Marquardt desired network neural
上傳時(shí)間： 2016-12-27
上傳用戶：jcljkh
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
標(biāo)簽： recursive prediction algorithm Gauss-Ne
上傳時(shí)間： 2016-12-27
上傳用戶：ljt101007
This work briefly explains common cryptosystems and details two most popular private-key ciphers: DES ,which is probably the most widely used, and AES, which is intended to replace DES.
標(biāo)簽： cryptosystems private-key explains briefly
上傳時(shí)間： 2013-12-20
上傳用戶：xfbs821
A Flash Player with ActionScript support. Write in C and C++. It have two part, one is Player and another is ActionScript Library. Runs on Linux and *BSD. It s very rough now, it have long way to go.
標(biāo)簽： Player ActionScript and support
上傳時(shí)間： 2013-12-24
上傳用戶：時(shí)代電子小智
This software package contains the USB framework core developped by ATMEL, as well as two HID drivers for a mouse and a keyboard. The following files are included : - core/ -> Source code for the framework core -> Makefile for the core - hid/ -> Source code for the HID drivers -> Makefile for the HID drivers - lib/ -> Lib v3 files for every supported chips - bin/ -> Compiled binaries for every supported chips - ./ -> Makefile for the framework -> Startup file
標(biāo)簽： developped framework software contains
上傳時(shí)間： 2014-08-30
上傳用戶：leixinzhuo
for FPGA IMPLEMENTATION,OUR DATAPATH CREATED FOR TWO BIRS MULTIPLICATION
標(biāo)簽： IMPLEMENTATION MULTIPLICATION DATAPATH CREATED
上傳時(shí)間： 2017-02-18
上傳用戶：Divine
This package is a free collection of Matlab routines for computing wave atom transforms in one, two and three dimensions.
標(biāo)簽： collection transforms computing routines
上傳時(shí)間： 2017-03-05
上傳用戶：1583060504
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