Patterns of Enterprise Application Architecture is written in direct response to the stiff challenges that face enterprise application developers. The author, noted object-oriented designer Martin Fowler, noticed that despite changes in technology--from Smalltalk to CORBA to Java to .NET--the same basic design ideas can be adapted and applied to solve common problems. With the help of an expert group of contributors, Martin distills over forty recurring solutions into patterns. The result is an indispensable handbook of solutions that are applicable to any enterprise application platform
標(biāo)簽： Architecture Application Enterprise challenge
上傳時(shí)間： 2013-12-12
上傳用戶(hù)：ywqaxiwang
Advanced_modelling_in_finance_using_Excel_and_VBA（pdf） The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex what if scenarios.
標(biāo)簽： Advanced_modelling_in_finance_usi ng_Excel_and_VBA step-by-step approach
上傳時(shí)間： 2013-12-14
上傳用戶(hù)：txfyddz
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
標(biāo)簽： efficient AdaBoost learning learners
上傳時(shí)間： 2013-12-06
上傳用戶(hù)：小寶愛(ài)考拉
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(shí)間： 2014-01-08
上傳用戶(hù)：lgnf
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： demonstrates sequential Selection Bayesian
上傳時(shí)間： 2016-04-07
上傳用戶(hù)：lindor
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： sequential reversible algorithm nstrates
上傳時(shí)間： 2014-01-18
上傳用戶(hù)：康郎
This example demonstrates the use of the ADC block and PWM blocks. The generated DSP code produces the pulse waveform whose duty cycle is changing as the voltage applied to ADC input changes. The waveform period is kept constant.
標(biāo)簽： demonstrates the generated produces
上傳時(shí)間： 2016-05-17
上傳用戶(hù)：sjyy1001
小波變換源代碼集 這是葛哲學(xué)編著《小波分析理論與MATLAB R2007實(shí)現(xiàn)》的所有源代碼。包含大量的實(shí)例和典型應(yīng)用。 a good example of wavelet for beginner and wavelet applied engineer
標(biāo)簽： beginner example wavelet MATLAB
上傳時(shí)間： 2016-05-26
上傳用戶(hù)：dapangxie
postfixComputer, Calculate the postfix expression, such as 45+,which means 4+5,and the result is 9. The program is very applied.
標(biāo)簽： postfixComputer expression Calculate the
上傳時(shí)間： 2014-01-02
上傳用戶(hù)：牧羊人8920
A semantic session analysis method partitioning Web usage logs is presented．Semantic W eb usage log preparation model enhances usage logs with semantic．The M arkov chain mode1 based on ontology semantic measurement is used to identi． ing which active session a request should belong to．The corn— petitive method is applied to determine the end of the sessions． Compared with other algorithms，more successfu1 sessions are additionally detected by semantic outlier analysis．
標(biāo)簽： usage partitioning presented semantic
上傳時(shí)間： 2016-08-06
上傳用戶(hù)：gxrui1991
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