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» Assembler-based Neural Network Simulator 1.0 - Matlab source code

Matlab MEX Interface to Assembler-based Neural Network Training and Simulation

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ANNS is a neural network simulator based on assembler language with a simple and intuitive Matlab interface. ANNS package dynamically generates ASM code, automatically embedding it into Matlab MEX file (Matlab C interface) for a fast and highly optimized code for neural network training and simulation. ANNS package is particularly suitable for pattern recognition tasks, when speed becomes the most relevant issue. ANNS package implements the backpropagation algorithm and includes:

arbitrary length of input feature vectors
one hidden layer (arbitrary number of hidden neurons)
hyperbolic tangent activation function on the hidden layer
linear activation function on the output layer
scalar output

ANNS package uses the Netwide Assembler.

Index Terms: Matlab, assembler, Mex, c, interface, neural network, asm, Netwide Assembler, ann, artificial neural networks, nn.

Figure 1. Assembler code

A highly optimized assembler code for Neural Network training and simulation.

The Netwide Assembler is available at http://sourceforge.net/projects/nasm.

Demo code (protected P-files) available for performance evaluation. Matlab is required.

Release

Date

Major features

1.0

2007.01.18

Neural Network training and simulation based on the back-propagation algorithm
Easy and intuitive MEX C interface
C code included
Assembler code included
Demo code (protected P-files) available for performance evaluation

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Name :	Luigi Rosa
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The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab is required. The code provided has to be considered "as is" and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.