搜索结果
找到约 690 项符合
two-column 的查询结果
软件设计/软件工程 sukumar N.写的报告Enriched Natural Neighbor Interpolants for Two-Dimensional Crack Modeling
sukumar N.写的报告Enriched Natural Neighbor Interpolants for Two-Dimensional Crack Modeling
其他 This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot se
This approach addresses two difficulties simultaneously: 1)
the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in
monocular aerial images. With the suggested method building outlines can be detected
faster than the mobile robot can explore the area by itself, g ...
文章/文档 in this document, i make a compartion between two algorithms, computational cost, algorithm analysis
in this document, i make a compartion between two algorithms, computational cost, algorithm analysis, on c. excuse my english
医药行业 临床医药试验:Gehan s Two Stage Design
临床医药试验:Gehan s Two Stage Design
医药行业 临床医药试验:Simon s Two stage Design
临床医药试验:Simon s Two stage Design
汇编语言 *** *** *** *** *** *** ***** ** Two wire/I2C Bus READ/WRITE Sample Routines of Microchip s ** 2
*** *** *** *** *** *** *****
** 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 base ...
数值算法/人工智能 Muscl Euler Two dimensions
Muscl Euler Two dimensions
系统设计方案 measure through the cross-entropy of test data. In addition, we introduce two novel smoothing tech
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.
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 ...