Resources for Project Neural Nets – ODEs

Added November 2020

The file neural-networks-odes.pdf is a draft of a supplemental Chapter 27 on neural networks for solving ODEs. It is pretty complete but it has no citations to the literature. The following two references should get you started:

• Geoffrey E. Hinton, How Neural Networks Learn from Experience, Scientific American, vol. 267, no. 3, September 1992, pp. 144–151.
• I. E. Lagaris, A. Likas, and D. I. Fotiadis, Artificial Neural Networks for Solving Ordinary and Partial Differential Equations, IEEE Transactions on Neural Networks, vol. 9, no. 5, 1998, pp. 987--1000.

You will need the following files to produce graphical output out of this chapter's Project Neural Nets – ODEs:

	plot-with-maple.c    plot-with-matlab.c

Gengetop

Our neural network solver takes a large number of command-line options. These are managed through the freely available GNU Gengetopt untility. The supplementary chapter gengetop.pdf provides a crash tutorial on gengetopt.

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