- Mutanor: a small game using the NN
This small sample is available under the following form:
- Neural Entity Package
The new package is developed with the VC2005 (beta 2). This IDE and
compiler are available at
microsoft's lab site
The IDE is quite good and the code produced is reliable. I really do
recommend the product.
In this new design, I take the advantage of the dll's - more
convenient to update and offers a better modularity (under linux/unix,
people can also make use of the so objects).. I also take advantages
of the threads, critical sections, events and internet connection from
Microsoft (I do apology to the unix/linux pro's but it was so easy
with Microsoft that I could not resist).
All the sources and samples are developed using the
VC8++ express - the old-way still makes use of the VC6 and VC7
- Under windows: the style
of compilation is pure ANSI-C++ (__STDC__ with no ms extension
in use) also the scope of variable declaration in the for loop are
conform to the standard.
- Under Linux: the compilation make usage of the 'ansi'
flag.
- Warning: the current library make use of the STL. The
end-users willing to use the AINN with VC6 should use the STL-Port or
any other good template library but NOT the one provided by
Microsoft as it is not standard - Using VC7.x or VC8.x should not
make any problem as for these versions Microsoft has corrected the
issues. I haven't encountered any issue under Linux but make sure you
have a correct standard library.
If a file is missing, it means it is
under way and will shortly be available.
- AINN-Old-WayBase library
This is the old-way versus my way
regarding the neural network. This library has the definition of three
neural networks: the adaline, the kohonen and the bakpropagation. The
library will merely be maintained and is present just to illustrate the
difference between an old-way (applied mathematical one) and my own
perception of the solution (informatics one).
The library is a collection of
object representing a neuron (Soma, dendrites and Axon) and the base
structure of a network organized in different layers (Cfr.
Documentation
also available to download
here).
Only the sources are available and can be
downloaded
here.
- Neural Entity
-
Version 1.0 Draft 1 is a basic version with only
the base neuron definition and a sample of neuron interaction
showing how to create and and, or, not and eor gates (Cfr
documentation).
The library is subject to heavy modification - consider it as a
draft and theoretical, I intend to create a less theoretical library
and by the faster... But I am not there yet!
-
Version 1.0 Draft 2 is the newly approach of the neural
entity philosophy. Indeed, we show how to create a simple eor gate
with two neuron and no learning require at all.... Sounds like magic
when I compare with the effort provided by the back propagation for
example. The C++ code is in test1-bio.cpp file. Just enjoy how easy
and intuitive it is.... The next version will start to implement an
automation flow of the Depolarization() and the beginning of
the learning ratios.
-
Version 1.0 Draft 4 is the newly approach of the neural
entity philosophy. This draft version present a new type of neuron
interconnection...
-
Version 1.0 Draft 5 has some basic adjustment /learning
capabilities with a small sample.
- Small utilities
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