The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks:
標簽： differenttype construct computer purpose
上傳時間： 2013-12-06
上傳用戶：13517191407
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 is included
標簽： Neural collection implement Adaptive
上傳時間： 2013-12-23
上傳用戶：teddysha
MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 ％needs optimization toolbox ％Modified by Bruce Land ％--Data via globals to anaylsis programs ％--3D plotting with color coded groups ％--Mapping of MDS space to spike train temporal profiles as described in ％Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in ％press J. Neurophysiology
標簽： MULTIDIMENSIONAL optimization Modified Steyvers
上傳時間： 2015-08-26
上傳用戶：kytqcool
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.
標簽： Neural collection implement Adaptive
上傳時間： 2015-12-01
上傳用戶：181992417
Atheros無線芯片AR-6000系列wince 6驅(qū)動源代碼(這東西我也沒用過別問我,我是搜別的wince資源搜到的) AR6K SDIO support. Requires firmware 1.1 on SD13 cards. readme: Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items). b. Run image size should be set to allow greater than 32MB. 3. a. From the Project menu select Add Existing Subproject... b. select AR6K_DRV.pbxml c. select open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution. 轉(zhuǎn)自Tony嵌入式,原文地址：http://www.cevx.com/bbs/dispbbs.asp?boardID=4&ID=11762&page=1
標簽： wince Requires firmware Atheros
上傳時間： 2014-11-11
上傳用戶：bibirnovis
aiNet application is a very powerful and a very simple tool for solving the problems which are usually solved with artificial neural networks (ANN). All possible tests we had run proved that the results obtained with aiNet are at least as good as the results obtained with some other ANNs. Let us state some of aiNet抯 features. (c) aiNet 1995-1997
標簽： very application powerful problems
上傳時間： 2014-01-16
上傳用戶：wang5829
Abstract—Wireless networks in combination with image sensors open up a multitude of previously unthinkable sensing applications. Capable tools and testbeds for these wireless image sensor networks can greatly accelerate development of complex, yet efficient algorithms that meet application requirements. In this paper, we introduce WiSNAP, a Matlab-based application development platform intended for wireless image sensor networks. It allows researchers and developers of such networks to investigate, design, and evaluate algorithms and applications using real target hardware. WiSNAP offers standardized and easy-to-use Application Program Interfaces (APIs) to control image sensors and wireless motes, which do not require detailed knowledge of the target hardware. Nonetheless, its open system architecture enables support of virtually any kind of sensor or wireless mote. Application examples are presented to illustrate the usage of WiSNAP as a powerful development tool.
標簽： combination previously multitude Abstract
上傳時間： 2013-12-03
上傳用戶：D&L37
*** *** *** *** *** *****/ /* 基于遺傳算法的人工生命模擬 AL_GA.C */ /* An Artificial Life Simulation model Based on Genetic Algorithm */ /* 同濟大學計算機系 王小平 2000年5月
標簽： Artificial Simulation AL_GA model
上傳時間： 2016-11-15
上傳用戶：ls530720646
A stability analysis is presented for staggered schemes for the governing equations of compressible flow. The method is based on Fourier analysis. The approximate nature of pressure-correction solution methods is taken into account. 2001 IMACS. Published by Elsevier Science B.V. All rights reserved
標簽： compressible stability for equations
上傳時間： 2016-12-02
上傳用戶：yph853211
* 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
