自適應(yīng)(Adaptive)神經(jīng)網(wǎng)絡(luò)源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標(biāo)簽： collection implement Adaptive adaptive
上傳時(shí)間： 2015-04-09
上傳用戶：ywqaxiwang
BoboMail is a so called webmail application, which provides mail access through a web interface. It handles MIME messages properly (including HTML mails) and is implemented in Python BoboMail是一個(gè)webmail應(yīng)用程序，它提供通過(guò)一個(gè)web接口的郵件訪問(wèn)。它可以正確處理MIME消息（包括HTML郵件），用Python實(shí)現(xiàn)。
標(biāo)簽： application interface BoboMail provides
上傳時(shí)間： 2013-12-08
上傳用戶：kristycreasy
This article is a very simple introduction writing a Windows Form application for the Microsoft.NET framework using C#. The sample application demonstrates how to create and layout controls on a simple form and the handling of mouse click events. The application displays a form showing attributes of a file. This form is similar to the properties dialog box of a file (Right click on a file and Click on Properties menu item). Since attributes of a file will be shown, the sample will show how to use File IO operations in .NET framework.
標(biāo)簽： introduction application Microsoft article
上傳時(shí)間： 2015-04-09
上傳用戶：www240697738
這是一個(gè)c語(yǔ)言寫(xiě)的a/d轉(zhuǎn)換程序。利用i2c總線實(shí)現(xiàn)對(duì)24c02的存和取
標(biāo)簽： 24c02 i2c c語(yǔ)言 轉(zhuǎn)換
上傳時(shí)間： 2013-12-26
上傳用戶：plsee
We demonstrate a method for encoding and decoding the [24,12,8] extended binary Golay code using a simple apparatus. We also present several generalizations of this construction which admit similar decoding algorithms.
標(biāo)簽： demonstrate decoding encoding extended
上傳時(shí)間： 2013-12-20
上傳用戶：moshushi0009
The CC1000 RF transceiver is very easy to interface with a microcontroller. The chip is configured using a three-wire bus, comprising of PCLK, PDATA and PALE signals.
標(biāo)簽： microcontroller transceiver configured The
上傳時(shí)間： 2014-01-04
上傳用戶：c12228
包含一下內(nèi)容: * An extensible agent * An SNMP library * tools to request or set information from SNMP agents * tools to generate and handle SNMP traps * a version of the unix netstat command using SNMP * a graphical Perl/Tk/SNMP based mib browser
標(biāo)簽： SNMP information extensible library
上傳時(shí)間： 2013-12-27
上傳用戶：lwwhust
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
標(biāo)簽： Description Randomness Attribute Filtered
上傳時(shí)間： 2015-04-10
上傳用戶：ynzfm
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標(biāo)簽： Description supervised algorithm S-ISOMAP
上傳時(shí)間： 2015-04-10
上傳用戶：wfeel
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經(jīng)網(wǎng)絡(luò)集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標(biāo)簽： comprehensibl Description Rule-PANE accurate
上傳時(shí)間： 2013-11-30
上傳用戶：wcl168881111111
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