A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the PERFORMANCE effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the PERFORMANCE effectively.
標(biāo)簽： self-organization optimization dissipative developed
上傳時間： 2016-03-31
上傳用戶：zgu489
Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the PERFORMANCE of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. Adaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters.
標(biāo)簽： intelligence optimization algorithms behaviors
上傳時間： 2014-01-08
上傳用戶：lgnf
主要介紹了如何使用E8仿真器在以Renesas芯片為MCU的開發(fā)板上進(jìn)行仿真調(diào)試。 第1 章 概要 第2 章 E8 仿真器功能 第3 章 使用前的準(zhǔn)備 第4 章 調(diào)試的準(zhǔn)備 第5 章 調(diào)試 第6 章 教程示例 附錄A E8 仿真器的構(gòu)成 附錄B 窗口功能一覽 附錄C 命令行功能 附錄D High-PERFORMANCE Embedded Workshop 的注意事項 附錄E 有關(guān)硬件診斷程序 E.1 為了執(zhí)行診斷程序的系統(tǒng)設(shè)置 E.2 診斷程序的執(zhí)行 E.3 錯誤發(fā)生時的處理
標(biāo)簽： Renesas MCU 仿真器 調(diào)試
上傳時間： 2013-12-26
上傳用戶：chens000
New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate PERFORMANCE measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
標(biāo)簽： classification algorithm for training
上傳時間： 2014-12-20
上傳用戶：stvnash
The core of Java(TM) technology, the Java virtual machine is an abstract computing machine that enables the Java(TM) platform to host applications on any computer or operating system without rewriting or recompiling. Anyone interested in designing a language or writing a compiler for the Java virtual machine must have an in-depth understanding of its binary class format and instruction set. If you are programming with the Java programming language, knowledge of the Java virtual machine will give you valuable insight into the Java platform s security capabilities and cross-platform portability. It will increase your understanding of the Java programming language, enabling you to improve the security and PERFORMANCE of your programs.
標(biāo)簽： machine Java technology computing
上傳時間： 2016-05-03
上傳用戶：zhenyushaw
There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting PERFORMANCE is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. To compare the perfromances of the receiver using DSSS plot the BER_awgn and BER_ray
標(biāo)簽： bpsk_spread jakesmodel simulation folder
上傳時間： 2016-05-19
上傳用戶：ynsnjs
Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate PERFORMANCE of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge
標(biāo)簽： communications simulating scripting digital
上傳時間： 2014-01-02
上傳用戶：plsee
用fpga實現(xiàn)的DA轉(zhuǎn)換器，有說明和源碼，VDHL文件。 A PLD Based Delta-Sigma DAC Delta-Sigma modulation is the simple, yet powerful, technique responsible for the extraordinary PERFORMANCE and low cost of today s audio CD players. The simplest Delta-Sigma DAC consists of a Delta-Sigma modulator and a one bit DAC. Since, both of these components can be realized using digital circuits, it is possible to implement a low precision Delta-Sigma DAC using a PLD.
標(biāo)簽： fpga DA轉(zhuǎn)換器
上傳時間： 2016-06-10
上傳用戶：bjgaofei
LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high PERFORMANCE computer architectures
標(biāo)簽： numerical software Algebra PACKage
上傳時間： 2014-08-16
上傳用戶：h886166
Abstract-The effect of the companding process on QAM signals has been under investigation for the past several years. The compander, included in the PCM telephone network to improve voice PERFORMANCE, has an unusual affect on digital QAM data signals which are transmitted over the same channel. The quantization noise, generated by the companding process which is multiplicative (and asymmetric), degrades the detectability PERFORMANCE of the outermost points of the QAM constellation more than that of the inner points. The combined effect of the companding noise and the inherent white gaussian noise of the system, leads us to a re-examination of signal constellation design. In this paper we investigate the detectability PERFORMANCE of a number of candidates for signal constellations including, a typical rectangular QAM constellation, the same constellation with the addition of a smear-desmear operation, and two new improved QAM constellation designs with two-dimensional warpi
標(biāo)簽： investigation Abstract-The companding the
上傳時間： 2013-12-20
上傳用戶：英雄
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