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Code 1-11 of 11   

Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers

Please run mexme_NN to recompile mex files on your own plateform

Please run test*.m to run demos

SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.

[1] Kasuba, T. (1993). "Simplified fuzzy...

These functions calculate fractional or complex order derivatives, when the order changes with time. Riemann-Liouville, Caputo and GrdoDsnwald-Letnikoff definitions are provided; the three variations considered by Lorenzo and Hartley are...

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert

Dueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed,...

Surveillance Anywhere provides a useful management tool for sys-admins and others concerned in the activities on and contents of the systems for which they are responsible by enabling them to monitor activity on any pc at any time, from anywhere...

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world...

This software has been realized by Chaitanya Sai at the CNS Technology Lab at Boston University ( More info is available at

Memories in Adaptive...

Scenes/Objects Rocognition toolbox v0.12
This toolbox provides some basic tools for scenes/object recognition in vision systems.
Based on supervised classification, this toolbox offerts some...

The first CNN appeared in the work of Fukushima in 1980 and was called Neocognitron. The basic architectural ideas behind the CNN (local receptive fields,shared weights, and spatial or temporal subsampling) allow such networks to achieve some...

Techniques from information theory are usual for the selection of variables in time series prediction or pattern recognition. These tasks involve, directly or indirectly, the maximization of the mutual information between input and output data....

GUAJE stands for Generating Understandable and Accurate fuzzy models in a Java Environment. Thus, it is a free software tool (licensed under GPL-v3) with the aim of supporting the design of interpretable and accurate fuzzy systems by means of...