非常好的優(yōu)化算法的書(shū)，詳細(xì)介紹了蟻群算法和粒子群算法以及相關(guān)的matlab工具箱，講了理論和應(yīng)用給出了工具箱的下載地址。 Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
標(biāo)簽： 優(yōu)化算法
上傳時(shí)間： 2014-01-26
上傳用戶(hù)：zgu489
This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.
標(biāo)簽： GUI The ui_start invoked
上傳時(shí)間： 2016-08-24
上傳用戶(hù)：杜瑩12345
an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
標(biāo)簽： similarity capturing concerned syntactic
上傳時(shí)間： 2014-01-05
上傳用戶(hù)：wmwai1314
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
標(biāo)簽： similarity presented capturing previous
上傳時(shí)間： 2013-12-13
上傳用戶(hù)：wcl168881111111
This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A particular PURPOSE. See the * GNU General Public License for more details.
標(biāo)簽： distributed WARRANTY program WITHOUT
上傳時(shí)間： 2013-12-02
上傳用戶(hù)：star_in_rain
The code on this diskette has been organized by chapter. Each subdirectory containing listing has a readme.txt describing program usage and any relevent file formats. The readme will also describe how to compile the target programs under IBM OS/2 (TM) using the using C Set++ compiler (TM). All programs on this diskette have been compiled and tested in this environment. The majority of programs on this diskette should port to other environments with only minor adjustments. The exception to this are those programs which utilize presentation manager for graphical display of program data. In particular, the grid1 programs in \chapt4\backprop\ and \chapt3\ fall into this latter category.
標(biāo)簽： subdirectory containing has organized
上傳時(shí)間： 2016-10-28
上傳用戶(hù)：冇尾飛鉈
A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a flexible support for wireless and mobile networking and in particular: support for multiple interfaces/multiple channels, and a common basis for the implementation of wireless routing protocols.
標(biāo)簽： Node Module-based capabilities Wireless
上傳時(shí)間： 2013-12-26
上傳用戶(hù)：大三三
THE CONTENTS OF THIS DOCUMENT ARE PROVIDED "AS IS". EXCEPT AS REQUIRED BY APPLICABLE LAW, NO WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A particular PURPOSE, ARE MADE IN RELATION TO THE ACCURACY, RELIABILITY OR CONTENTS OF THIS DOCUMENT. NOKIA RESERVES THE RIGHT TO REVISE THIS DOCUMENT OR WITHDRAW IT AT ANY TIME WITHOUT PRIOR NOTICE.
標(biāo)簽： APPLICABLE CONTENTS DOCUMENT PROVIDED
上傳時(shí)間： 2013-12-06
上傳用戶(hù)：rishian
非線(xiàn)性有限元程序，NONSAP is a general finite element program for the nonlinear static and dynamic analysis of complex structures. The program is very flexible and was designed to be extended and modified by the user. In particular the program can easily be modified to use a different formulation of the equations of motions, different time integration operators and other additional options.
上傳時(shí)間： 2016-11-12
上傳用戶(hù)：hopy
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
標(biāo)簽： package multi-label includes networks
上傳時(shí)間： 2013-12-05
上傳用戶(hù)：xsnjzljj
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