Tests

Comparison with other neural networks

We have conducted extensive testing of PANN™ neural networks in comparison with other, classical, neural networks, using the popular IRIS and MNiST datasets (among others) on the same low spec hardware.

NB: Please note that the graphs below are truncated to be able to show PANN™ values visually. Otherwise, the enormous difference in performance makes PANN™ almost invisible in such graphs. See full details in the table below.

Comparison of PANN™ with Keras on TensorFlow by Google

Test details

Browse a summary of the tests carried out on PANN and classical neural networks.

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Dataset	Description	GitHub Repository	Computing time (Keras)	Computing time (PANN)	Times PANN is faster	Training Time (Keras)	Training Time (PANN)	Times PANN is quicker
Fashion MNIST	https://www.kaggle.com/qnkhuat/fashionmnist	https://github.com/Hlaiman/p-net-comparisons	2.5740	0.0572	45	74,279	3,333	22
Pima Indians diabetes	https://www.kaggle.com/uciml/pima-indians-diabetes-database	https://github.com/Hlaiman/p-net-comparisons	0.5277	0.0041	127	549	12	46
Wine quality	https://archive.ics.uci.edu/ml/datasets/Wine+Quality	https://github.com/Hlaiman/p-net-comparisons	0.5151	0.0051	101	3,812	28	136
Banknote authentication	https://archive.ics.uci.edu/ml/datasets/banknote+authentication	https://github.com/Hlaiman/p-net-comparisons	0.5068	0.0039	127	5,030	17	296
Combined cycle power plant	https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant	https://github.com/Hlaiman/p-net-comparisons	0.8255	0.0035	234	4,426	4	1,107
Boston house price	https://www.kaggle.com/vikrishnan/boston-house-prices	https://github.com/Hlaiman/p-net-comparisons	0.6557	0.0036	183	689	1	689
Abalone	https://archive.ics.uci.edu/ml/datasets/abalone	https://github.com/Hlaiman/p-net-comparisons	0.8386	0.0035	239	3,752	3	1,251