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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.

Release
Date
Major features
1.0

2007.01.18



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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.

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