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VDKAnn: ARTIFICIAL NEURAL
NETWORKS FOR VDK
A C++ library to design, construct and test connectionist
systems.
VDKAnn FEATURES
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Supports several models of neural networks:
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BAM system: bidirectional associative memories.
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MLFN: Multi Layer Feedforward Networks.
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PNN: Probabilistic Neural Network.
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Kohonen maps: two layers self-organizing neural networks.
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Several learning alghoritms and optimization tecniques are supported:
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Conjugate gradient
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Levenberg-Marquardt
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Stochastic smoothing
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Genetic Algorithms
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Simulated Annealing
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Net operations can easily embedded into C++ source code with high-level
instructions.
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VDKAnn Requires VDK
version >= 1.2.0
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VDKAnn is licensed under LGPL
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VDKAnn author is Mario
Motta
FUTURE PLANS
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A GPL'ed VDKAnn based tool to visually build and test neural networks
is under development, its name will be NetBuilder and is expected
to be released as prototype in May - June 2000
A CASE STUDY EXAMPLE
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An example of VDKAnn used to show local minima problems in a
xor net is showed here.
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