非常好的優化算法的書，詳細介紹了蟻群算法和粒子群算法以及相關的matlab工具箱，講了理論和應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.
標簽： 優化算法
上傳時間： 2014-01-26
上傳用戶：zgu489
Matlab源代碼，包括支持向量機分類算法（SVC_C，SVC_Nu）,回歸算法（SVR_Epsilon，SVR_Nu）,以及One-Class算法。
上傳時間： 2016-08-06
上傳用戶：風之驕子
It is an experimental testing for python M2Crypto module. M2Crypto is not well document. User may not know how to use SHA256 when signing and verify with RSA. It also have not enough document to show how to use DES to encrypt and decrypt. Here also includes source codes for performance evaluation of the algorithms. This experimental program explore all this issue and may be helpful for some one who using python for doing encryption with RSA and DES.
標簽： M2Crypto experimental document testing
上傳時間： 2016-08-08
上傳用戶：上善若水
通用數據傳送指令. MOV 傳送字或字節. MOVSX 先符號擴展,再傳送. MOVZX 先零擴展,再傳送. PUSH 把字壓入堆棧. POP 把字彈出堆棧. PUSHA 把AX,CX,DX,BX,SP,BP,SI,DI依次壓入堆棧. POPA 把DI,SI,BP,SP,BX,DX,CX,AX依次彈出堆棧. PUSHAD 把EAX,ECX,EDX,EBX,ESP,EBP,ESI,EDI依次壓入堆棧. POPAD 把EDI,ESI,EBP,ESP,EBX,EDX,ECX,EAX依次彈出堆棧. BSWAP 交換32位寄存器里字節的順序 XCHG 交換字或字節.( 至少有一個操作數為寄存器,段寄存器不可作為操作數) CMPXCHG 比較并交換操作數.( 第二個操作數必須為累加器AL/AX/EAX ) XADD 先交換再累加.( 結果在第一個操作數里 ) XLAT 字節查表轉換. ── BX 指向一張 256 字節的表的起點, AL 為表的索引值 (0-255,即 0-FFH) 返回 AL 為查表結果. ( [BX+AL]->AL )
上傳時間： 2016-08-17
上傳用戶：13681659100
This application report presents basic code for initializing and operating the TMS320LF240x DSP devices. Two functionally equivalent example progra ms are presented: one written in assembly language and the other in C language. Detailed discussions of each program are provided that explain numerous compiler and assembler directives, code requirements, and hardware-related requirements. The programs are ready to run on either the TMS320LF2407 Evaluation Module (EVM) or the eZdsp LF2407 development kit. However, they are also intended for use as a code template for any TMS320LF240x (LF240x) or TMS320LF240xA (LF240xA) DSP target system.
標簽： initializing application operating presents
上傳時間： 2013-12-19
上傳用戶：tzl1975
The download includes the kernel source code, and a demo application for EVERY RTOS port. See http://www.freertos.org/a00017.html for full details of the directory structure and information on locating the files you require. The easiest way to use FreeRTOS is start start with one of the demo application projects. Once this is running the project can be modified to include your own source files. This way the correct files and compiler options will be automatically included in your application. + The Source directory contains the real time kernel source files for every port. The kernel itself is only 3 files. + The Demo directory contains the demo application source files for every port. + The TraceCon directory contains the trace visualisation exe file. See the readme files in the respective directories for further information.
標簽： application download includes kernel
上傳時間： 2016-08-24
上傳用戶：zhyiroy
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標簽： Matlab-interfaces inference interface the
上傳時間： 2016-08-27
上傳用戶：gxrui1991
For advanced geometry, most apps will prefer to load pre-authored meshes from a file. Fortunately, when using meshes, D3DX does most of the work for this, parsing a geometry file and creating vertx buffers for us. This tutorial shows how to use a D3DXMESH object, including loading it from a file and rendering it. One thing D3DX does not handle for us is the materials and textures for a mesh, so note that we have to handle those manually.
標簽： pre-authored Fortunately advanced geometry
上傳時間： 2013-12-26
上傳用戶：sssl
ADM6993F/FXFiber to Fast Ethernet Converter (TS1000 CPE Complied) The ADM6993F/FX is a single chip integrating two 10/100 Mbps MDIX TX/FX transceivers, a three-port 10/100M Ethernet L2 switch controller, and one OAM engine to meet demanding applications, including Fiber-to-Ethernet media converters, especially the fiber to the home (FTTH) media converters. The ADM6993F/FX feature set includes link pass through (LPT), TS1000 OAM frame receiving/processing/transmitting, programmable link status LED display, various loop-back modes, and one configurable MII ports for snooping/inserting OAM frame from/to 100Fx. The ADM6993FX is the environmentally friendly “green” package version.
標簽： 6993 ADM Converter Ethernet
上傳時間： 2014-01-01
上傳用戶：hebmuljb
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
標簽： approximate The modeling problems
上傳時間： 2013-12-20
上傳用戶：15071087253
