The following is a pattern recognition engine based on the Hopfield Neural Network.
Before running any of the code in this repo, the following must be installed at the minimum:
- Python 3.6.4
- Numpy version 1.14.0
- Tkinter version 8.6
- Argparse version 1.4.0
- README.md
- hopfiled.py
- testHopfield.py
Program supports commandline interface which allows to run with variable number of row and columns and the visiting order for the hopfiled algorithm.
-h, --help show this help message and exit
-r ROW, --row ROW Number of rows for the pattern engine (int)
-c COL, --col COL Number of columns for the pattern engine (int)
-o [ORDER [ORDER ...]], --order [ORDER [ORDER ...]]
List specifying visiting order of each node
By default, the pattern engine contains 4 rows and 4 columns with random visiting order. To run the program with default setting, use python ./testHopfield.py.
To run the program with 4 rows and 5, use python ./testHopfield.py -r 4 -c 5
Size of the list specifying order must exactly be equal to row * column. Furthermore, each of the element in the order list must be unique, ranging from 0 to [(row * col) - 1].
For example, if the pattern machine has 4 row and 3 column, then the size of the order list must be 4 * 3 = 12 element. The following is one possible combination:
python .\testHopfield.py -r 4 -c 3 -o 0 2 4 6 8 10 1 3 5 7 9 11
If the size of the order list does not match row * column or the element of the list does not satisfy the ranging criteria, then order list will be randomized to a new valid list.
- Add additional features to GUI
- Ravi Patel: https://github.com/rpatel26