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nbproject
nbproject
 
 
saved-nets
saved-nets
 
 
.dep.inc
.dep.inc
 
 
.gitignore
.gitignore
 
 
3D-scatter-plot-test.py
3D-scatter-plot-test.py
 
 
BPTT-RNN.h
BPTT-RNN.h
 
 
Chinese-test.c
Chinese-test.c
 
 
Fourier-genetic-NN.c
Fourier-genetic-NN.c
 
 
Jacobian-NN.c
Jacobian-NN.c
 
 
Jacobian-NN.h
Jacobian-NN.h
 
 
K-wandering-1-component.png
K-wandering-1-component.png
 
 
K-wandering-color-boxes.png
K-wandering-color-boxes.png
 
 
K-wandering-fixed-point.png
K-wandering-fixed-point.png
 
 
K-wandering-quasi-orbit.png
K-wandering-quasi-orbit.png
 
 
Q-learning.c
Q-learning.c
 
 
Q.net
Q.net
 
 
QNET.h
QNET.h
 
 
README.md
README.md
 
 
RNN-topology.png
RNN-topology.png
 
 
RNN-topology.svg
RNN-topology.svg
 
 
RNN.h
RNN.h
 
 
Sayaka-1.cpp
Sayaka-1.cpp
 
 
Sayaka-2.cpp
Sayaka-2.cpp
 
 
Sayaka1.c
Sayaka1.c
 
 
V-learning.c
V-learning.c
 
 
arithmetic-test.c
arithmetic-test.c
 
 
back-prop.c
back-prop.c
 
 
backprop-through-time.c
backprop-through-time.c
 
 
basic-tests.c
basic-tests.c
 
 
beep.wav
beep.wav
 
 
beep1.wav
beep1.wav
 
 
carousel.c
carousel.c
 
 
compile-find-max.sh
compile-find-max.sh
 
 
compile-neuromancer.sh
compile-neuromancer.sh
 
 
compile-symmetric-NN.sh
compile-symmetric-NN.sh
 
 
experiments.c
experiments.c
 
 
feedforward-NN.h
feedforward-NN.h
 
 
find-max-NN
find-max-NN
 
 
find-max-NN.c
find-max-NN.c
 
 
g-and-h-networks.png
g-and-h-networks.png
 
 
g-and-h-networks.svg
g-and-h-networks.svg
 
 
genetic-NN.c
genetic-NN.c
 
 
genifer
genifer
 
 
main.c
main.c
 
 
makefile
makefile
 
 
maze.cpp
maze.cpp
 
 
neuromancer
neuromancer
 
 
neuromancer.cpp
neuromancer.cpp
 
 
quadratic-NN.c
quadratic-NN.c
 
 
random-matrices.dat
random-matrices.dat
 
 
random-positive-definite-matrix.py
random-positive-definite-matrix.py
 
 
real-time-recurrent-learning.c
real-time-recurrent-learning.c
 
 
set-distance
set-distance
 
 
set-distance.cpp
set-distance.cpp
 
 
stochastic-forward-backward.c
stochastic-forward-backward.c
 
 
symmetric-NN
symmetric-NN
 
 
symmetric-NN-new.pdf
symmetric-NN-new.pdf
 
 
symmetric-NN-old.cpp
symmetric-NN-old.cpp
 
 
symmetric-NN-old.pdf
symmetric-NN-old.pdf
 
 
symmetric-NN.cpp
symmetric-NN.cpp
 
 
symmetric-test.c
symmetric-test.c
 
 
symmetric-test.cpp
symmetric-test.cpp
 
 
tic-tac-toe-old.cpp
tic-tac-toe-old.cpp
 
 
tic-tac-toe.cpp
tic-tac-toe.cpp
 
 
tic-tac-toe.h
tic-tac-toe.h
 
 
ttt1.dat
ttt1.dat
 
 
ttt2.dat
ttt2.dat
 
 
v.net
v.net
 
 
visualization.c
visualization.c
 
 

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Neural Network in C/C++

Experimental code where I test out my neural network ideas.

Installation

Dependencies:

  • SDL2 (Simple DirectMedia Layer v2, for graphics plot)
  • GSL (GNU Scientific Library)
  • SMFL (Simple and Fast Multimedia Library, for drawing maze)

To install SDL2 library:

sudo apt-get install libsdl2-2.0-0
sudo apt-get install libsdl2-dev
sudo apt-get install libsdl2-mixer-dev

To install GSL library:

sudo apt-get install libgsl-dev

To install SFML library:

sudo apt-get install libsfml-dev

To compile:

mkdir dist
make genifer

For development, you may use the NetBeans IDE, with C/C++ extensions, but I have moved away from NetBeans and the config files may be old.

Screen Shots

Below are some images of the cognitive state vector K moving about chaotically when acted on by a random-weight recurrent NN.

This one shows convergence towards a fixed-point:

This one shows typical quasi-periodic behavior:

The color boxes reveals that all the components share roughly the same quasi-period:

This is just a single component of the K vector:

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Neural network code in C/C++

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