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汇编语言 selects the mux channel and configures the MAX197 for second write pulse, written with ACQMOD = 0,
selects the mux channel and configures the MAX197 for
second write pulse, written with ACQMOD = 0, termi-
either unipolar or bipolar input range. A write pulse (WR
nates acquisition and starts conversion on WR°Os risin
+ CS) can either start an acquisition interval or initiate a
edge (Figure 6). Ho ...
汇编语言 selects the mux channel and configures the MAX197 for second write pulse, written with ACQMOD = 0,
selects the mux channel and configures the MAX197 for
second write pulse, written with ACQMOD = 0, termi-
either unipolar or bipolar input range. A write pulse (WR
nates acquisition and starts conversion on WR°Os risin
is restarted.
The ACQMOD bit in the input control byte offer+ CS) can either sta ...
系统设计方案 We address the problem of predicting a word from previous words in a sample of text. In particular,
We address the problem of predicting a word from previous words in a sample of text. In particular,
we discuss n-gram models based on classes of words. We also discuss several statistical algorithms
for assigning words to classes based on the frequency of their co-occurrence with other words. We
fin ...
数值算法/人工智能 Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs
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
...
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,
% ...
matlab例程 Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Ne
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 , w ...
压缩解压 The ZZIPlib provides read access on ZIP-archives. The library uses only the patent-free compression-
The ZZIPlib provides read access on ZIP-archives. The library uses only the patent-free compression-algorithms supported by Zlib. It provides functions that transparently access files being either real files or zipped files, both with the same filepath
其他行业 This program is free software you can redistribute it and/or modify it under the terms of the GNU G
This program is free software you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation either version 2 of the License, or
(at your option) any later version.
其他行业 This program is free software you can redistribute it and/or modify it under the terms of the GNU G
This program is free software you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation either version 2 of the License, or
(at your option) any later version.
其他行业 This program is free software you can redistribute it and/or modify it under the terms of the GNU G
This program is free software you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation either version 2 of the License, or
(at your option) any later version.