Search Results for "neural network code in matlab" - Page 5

It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly. Note: JRE 1.6 is required to run this application.

NSB entropy and mutual information estimator; applications to the analysis of neural code.

This code is a collection of machine learning classes which can be used for a variety of applications. The linear_learning class can be used to model linear equations. The class_learning class can be used to linearly separate groups of data. The network class can be used to create a neural network to model complex classification problems.

Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab

Cognity is an object-oriented neural network library for Java. It's goal is to provide easy-to-use, high level architecture for neural network computations along with reasonable performance.

The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy...

NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.

...oscmex comprises a set of "mex" binary routines, written in C, that can be loaded and called from MATLAB. The C code makes use of the liblo library (which is distributed under the terms of LGPL), and oscmex is also distributed under the same terms. oscmex is not endorsed by nor representative of MATLAB nor MathWorks.

Matlab - Metatrader4 integration for using Neural Network on Forex market

Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi

A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).

Automated e-commerce site. Includes DoD 479 documentation (i know its not the MOST up to date but neither am i). This is a Work in Progress!!! The Project posts its own code and documents as it sees fit.

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

Smalltalk neural network code in Squeak

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++.

Artificial Neural Network targeted at Morse Code symbols recognition using OIJ learning method, coded in Python for portability.

Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.

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...

This is an attempt to port Douglas Blank's neural network "Analogator" into Matlab. It does not yet work and any helping hands out there would be nice. A recent update to 'pyrobot' includes a contemporary implementation of Analogator but there are a

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.

Neural Network for physicists. A flexible code in which the user has high control of the network parameters. The code provides a chi^2 cost function. The code accepts user-defined cost function and neuron activation functions.

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.

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.

The source code for my(Ben Thompson) 10th grade neural network science fair project. UPDATE: Got 2nd in the regional fair, 3rd in the state, 4th in international science fair.