Application of Generalized Dynamic Neural Networks to Biomedical Data
Lutz Leistritz, Miroslaw Galicki, Eberhard Friedrich Kochs, Ernst Bernhard Zwick, Clemens Fitzek, Jürgen Rainer Reichenbach, Herbert Witte · IEEE Transactions on Biomedical Engineering · 2006
This paper reviews the application of continuous recurrent neural networks with time-varying weights to pattern recognition tasks in medicine. A general learning algorithm based on Pontryagin's maximum principle is recapitulated, and possibilities of improving the generalization capabilities of these networks are given. The effectiveness of the methods is demonstrated by three different real-world examples taken from the fields of anesthesiology, orthopedics, and radiology.