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Fast Artificial Neural Network Library (FANN)Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support
http://www.leenissen.dk/
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support
http://www.leenissen.dk/
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Fast Artificial Neural Network Library (FANN) | leenissen.dk Reviews
https://leenissen.dk
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support
leenissen.dk
FANN Creation/Execution - Fast Artificial Neural Network Library (FANN)
http://leenissen.dk/fann/html/files/fann-h.html
Fast Artificial Neural Network Library (FANN). Reference Manual for FANN 2.2.0. FANN Wrapper for C. The FANN library is designed to be very easy to use. A feedforward ann can be created by a simple fann create standard. Function, while other ANNs can be created just as easily. The ANNs can be trained by fann train on file. And executed by fann run. The FANN library is designed to be very easy to use. Creation, Destruction and Execution. Creates a standard fully connected backpropagation neural network.
Authors | FANN
http://leenissen.dk/fann/wp/authors
Fast Artificial Neural Network Library. Steffen Nissen (sn@leenissen.dk). 8211; Creator and maintainer of the fann library. Adrian Spilca (adsp@users.sourceforge.net). 8211; Testing and insightful comments. 8211; Made the function fann create train from callback. 8211; Created OpenMP support for FANN. Alexandros Stergiakis (alsterg@gmail.com). 8211; TCL Bindings. Birol Kuyumcu (bluekid70@gmail.com). 8211; Author of FANNTool GUI. Casimiro de Almeida Barreto (casimiro.barreto@gmail.com). 8211; PHP extension.
Getting Started | FANN
http://leenissen.dk/fann/wp/help/getting-started
Fast Artificial Neural Network Library. For general help information about FANN, please go the main FANN Help page. Russian translation available here. An ANN is normally run in two different modes, a training mode and an execution mode. Although it is possible to do this in the same program, using different programs is recommended. The following is a simple program which trains an ANN with a data set and then saves the ANN to a file. The file xor.data, used to train the xor function. Fann train on file.
Forum moved to sourceforge | FANN
http://leenissen.dk/fann/wp/2012/10/forum-moved-to-sourceforge
Fast Artificial Neural Network Library. Forum moved to sourceforge. Forum moved to sourceforge. October 20, 2012. Written by Steffen Nissen. After having run my own phpbb forum for a number of years, I got fed up with dealing with spambots and have switched back to using sourceforge forums. The new forum is available at SourceForge FANN Forum. The old forum have had the spam removed and is still available in a read-only mode at FANN phpbb forum. FANN 2.2.0 Released. Working with FANN from Java and Scala.
Fast Artificial Neural Network Library (FANN)
http://leenissen.dk/fann
Fast Artificial Neural Network Library. Are available. An easy to read introduction article. And a reference manual. Accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces. Are also available for the library. Multilayer Artificial Neural Network Library in C. Backpropagation training (RPROP, Quickprop, Batch, Incremental). Evolving topology training which dynamically builds and trains the ANN (Cascade2). A thorough reference manual. Several ...
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3chevrons: July 2011
http://3chevrons.blogspot.com/2011_07_01_archive.html
Wednesday, July 20, 2011. SCHEMENAUER AND THE XOR GATE. SCHEMENAUER AND THE XOR GATE. IMPLEMENTING ANN IN PYTHON. I was searching for Artificial Neural Networks (ANN) implementation in Python. I came across the following;. C library with python bindings. Not a library, solitary script by Neil Schemenauer. Has some history in the evolution of ANN methods. The XOR function is not linearly separable and cannot be realised using only one layer of ANN. TINKERING WITH SCHEMENAUER'S CODE. 0, 0], '= ', [0.99...
May – 2015 – Vladímir Robles-Bykbaev
http://vladimirrobles.info/2015/05
There were 3 posts published in May 2015. Handwritten Java visualizer example (Corpus Semeion). This post shows a simple Java-code to visualize the handwritten digits of semeion dataset. Null){ System.out.println(d.getWidth() "! Programming Multilayer Perceptron with FANN. In this post is presented a simple example that describes how train a multilayer perceptron to solve problems that are not linearly separable. However, before starting, we must previously install the following libraries:.
Firagiel.com
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Water Coning in Gas Well. Understanding The Uncertainties in Geomodeling. Important Role of Adaptive Neuro-Fuzzy. SPE-164164: Diagenetic Events as The Key Improvement. Fracture and Carbonate Reservoir Characterization. SPE-164641: Developing Realistic Depletion Plan. Carbonate Reservoir Characterization and. SPE-150822: Multiple EOS Fluid Characterization. 1D Waterflood Performance Prediction Model. Development Plan of “SUGI” Field. DFE04-OR-007: Prominent S Gas Field Discovery. LogView is an advance app...
ruby & ruby on rails « по стопам webkill'а
http://blog.lukmus.ru/category/ruby-on-rails
Это наш химический дом для печальных жителей Земли. Mechanize через SOCKS5 или парсим Tor. Lukmus Category: ruby and ruby on rails. Незаменимый для парсинга гем Mechanize. Эмулирующий браузер, по умолчанию поддерживает только обычные прокси. Широкой общественности известен факт, что для подключения к Tor-сайтам используется SOCKS5, который организуется через Privoxy. Этот пост повествует как заставить Mechanize подключиться к Tor-сайтам. Собственный способ отправки сообщений в ActionMailer. Установка Rub...
FANN Nedir ~ FannTool
http://fanntool.blogspot.com/p/fann-nedir.html
What is / Nedir? Latest Source Code -Git-. Fast Artifical Neural Networ. K yada kısaca FANN ;. Yapay Sinir Ağlarının en yaygın olarak kullanılan Çok katmanlı İleri beslemeli Geri yayılmı ( Multi-Layer Feed Forward Backpropagate) türünün kullanımı için C dilinde yazılmış bir Kütüphanedir. Perl, PHP, Java, Delphi ve C# gibi pekçok programlama dili ile de kullanılabilir. Dir ki Ticari uygulamalarınız bile kullanabilirsiniz. Diğer benzeri kütüphanelere göre 150 kata kadar hızlıdır. Yapay Sinir Ağları ile Sıc...
Software & Tools for Artificial Intelligence Simulation both Open Source and Commercial | homeAI.info
http://homeai.info/directory/algorithms/software-tools
The below lists various Software and Tools on Artificial Intelligence and Machine Learning. Both open source and commercial software is given in separate sections. The below gives a list of software and tools grouped by open source or commercial and then by language. Open Source Simulation Software and Tools. Top 10 Machine Learning Projects. Deep Learning Software Links. 8211; Wikipedia, the free encyclopedia. 8211; Computational Network Toolkit by Microsoft Research. IBM System ML at GitHub. 8211; Show...
Modeling tools - Model Everything
http://modeleverything.org//tools
Explore the World of Scientific Modeling and Simulation. This page presents an informal, emerging aggregation of various modeling tools. To explore a similar aggregation of prepared model packaages, visit the tools/models. GME: Generic Modeling Environment. Open source, cross platform suite of tools for. Plugin for the Google SketchUp 3D drawing program to create and edit the building geometry for EnergyPlus input files. 160; * Anim8or -3D rendering and animation package. 160; * FaceGen - s...160;...
system Archive - Danger, Will Robinson!
http://witzawitz.com/category/system
Danger, Will Robinson! Installing FANN on MacOSX 10.7 with Python binding. Is a great artificial neural network library that has a low of language bindings. The latest version for now is 2.2. I’ve installed it at first. But than I discovered that python binging is part of 2.1 version not 2.2. So the plan is as follows. Unlock multiple files on Mac OS X. Chflags -R nouchg *. 2016 Danger, Will Robinson! Enter the text for your license inside the footer. RSS Feed 2.0.
All About: Agosto 2010
http://felipecpc.blogspot.com/2010_08_01_archive.html
Processamento Digital de Sinais. Segunda-feira, 30 de agosto de 2010. Inteligência Artificial] K-means utilizando matlab. K-means é um método de análise para classificação de dados em clusters:. Http:/ en.wikipedia.org/wiki/K-means clustering. X = [ randn(100,1) 5,randn(100,1) 5];. Randn(100,1) 5,randn(100,1)-5];. Randn(100,1)-5,randn(100,1)-5];. Randn(100,1)-5,randn(100,1) 5] ;. Opts = statset('Display','final');. Idx,ctrs] = kmeans(X,4,'Distance','city','Replicates',5,'Options',opts);. B =1; % Baias.
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Fast Artificial Neural Network Library (FANN)
Fast Artificial Neural Network Library. Are available. An easy to read introduction article. And a reference manual. Accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces. Are also available for the library. Multilayer Artificial Neural Network Library in C. Backpropagation training (RPROP, Quickprop, Batch, Incremental). Evolving topology training which dynamically builds and trains the ANN (Cascade2). A thorough reference manual. Several ...
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