<rt id="4qo8w"></rt>
<rt id="4qo8w"></rt>
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
標簽： 64257 algorithms decision pattern
上傳時間： 2014-01-12
上傳用戶：wangdean1101
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
Simulation software, an important part of learning model electricity, The detailed explained how PPT to use his good tutorial is beginner self-study
標簽： electricity Simulation important explained
上傳時間： 2016-12-05
上傳用戶：hn891122
ST uPSD32XX I2C This example demo code is provided as is and has no warranty, implied or otherwise. You are free to use/modify any of the provided code at your own risk in your applications with the expressed limitation of liability (see below) so long as your product using the code contains at least one uPSD products (device)
標簽： otherwise provided warranty example
上傳時間： 2013-12-07
上傳用戶：標點符號
* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network libraries. It features multilayer * feedforward perceptron neural networks, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
The documentation folder contains general documentation. It includes an alternative version of Chapter 1 for those who want to use the JGrasp IDE.
標簽： documentation alternative contains includes
上傳時間： 2014-01-23
上傳用戶：refent
％ 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, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
標簽： Levenberg-Marquardt desired network neural
上傳時間： 2016-12-27
上傳用戶：jcljkh
switch config tool for configuring kernel mode switch phy driver in openwrt. uses generic netlink for kernel to use communication.
標簽： switch configuring generic openwrt
上傳時間： 2017-01-04
上傳用戶：妄想演繹師
本文檔介紹了如何使用各種內(nèi)嵌工具，函數(shù)和其他一些小技巧來加強使用matlab的速度和效率，是廣大愛好者必讀的文檔。具體內(nèi)容請參閱文檔。 Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector without repmat. Contents: * The Profiler * Array Preallocation * JIT Acceleration * Vectorization * Inlining Simple Functions * Referencing Operations * Numerical Integration * Signal Processing * Miscellaneous Tricks
上傳時間： 2013-12-11
上傳用戶：cuiyashuo
This a Python 3 module that adds support for a MySQL database, written entirely in C. It s purpose is to be useful and as simple to use as possible.
標簽： C. database entirely support
上傳時間： 2013-12-30
上傳用戶：ggwz258
蟲蟲下載站版權(quán)所有 京ICP備2021023401號-1
<cite id="iqao8"></cite>
