Search Results for "autoscan-network" - Page 2

O SAINP (Sistema de Apoio ao Investidor Não Profissional) se propõe a realizar a análise fundamentalista dos ativos negociados na bolsa de valores brasileira. É um sistema próximo ao fornecido pela Economatica, mas gratuito e online.

An adaptive neural network and evolutionary algorithms approach to the machine learning tasks, based on the modular graph grammars. Tested on the "two spirals problem" and other tasks. Implemented in Matlab and C++.

Tool for visualizing artificial neural networks in Matlab using the Matlab Neural Network Toolbox (see wiki for details).

SpecMark (spectral Markov) is a method for calculating the joint probability distribution over species in a regulatory network.

A collection of functions, in the end to be wrapped in a gui, that allow users to analyze networks from global (eigenvector centrality) and local (degree dist, statistical significance) perspectives. Implemented in matlab.

mYm is a Matlab interface to MySQL server. It is based on the original 'MySQL and Matlab' by Robert Almgren and adds the support for BLOBs. That is, it can insert matlab objects (e.g. array, structure, cell) into BLOB fields.

Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...

Titan allows service-oriented processing of context recognition applications on Wireless Sensor Networks. It includes an execution environment developed for TinyOS and a Java ME (Personal Profile) Network Manager intended to be run on a mobile phone.

The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.

Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.

A simulator for learning techniques for dynamic bayesian networks.

Matlab package for stretched exponential fit of discrete values, such as the number of requests to each video file in a video system, the number of posts by each user in a social network (e.g., a blog site), etc.

A framework for solving large systems of linear equations (Ax=b) in a distributed network using different iterative methods. The solver is written on Java, can be run on Windows or Linux. The solver is compatible with either MPICH2 or mpj-express.

Software for clustering networks as described in "Information-theoretic approach to network modularity" (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).

software for identifying modules in networks (e.g. "community detection"), as described in "a bayesian approach to network modularity" (physical review letters 100, 258701 (2008); http://link.aps.org/abstract/PRL/v100/e258701).

A highly scalable network emulation tool which emulates dynamic, mobile ad-hoc wireless network topologies in real-time, featuring easy deployment and detailed network models. It was developed in the research project HIDENETS (http://www.hidenets.aau.dk)

SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder

This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.

NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).

This project consists in matlab scripts to create and train an Elman network. The task assigned to the network is to transform the orthographic form of a verb presented in the infinitive into its past participle and vice versa M.Carastro & R.Scanavino

A tool based on the model proposed by Bellman & Zadeh (1970) fuzzy logic (fuzzy sets) decision support paper. The first version of the application was developed in Java (pure java + jgoodies and some other APIs). Now it is being rewritten using nebular, a pure Java fuzzy API.

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

The purpose of this project is to implement a java program that can show/edit Neural Network objects made in matlab.

mlearn is a gradient based learning toolbox for matlab. While it is fairly simple to build a neural network, it is designed for ease of implementing new kind of gradient based architecture.

This is a speech project make by NTHU MIRLab, Taiwan.