fechner@b21.UUCP (Thomas Fechner) (08/17/90)
I am working on neural nets for pattern recognition in signal processing applications. The first results with backpropagation training are (as usually) very promising but there still remains one main problem: After having trained the network, what are the discriminant features within the neural network ? Is there any tool which finds these automatically ? I know that Sejnowski analyzed his sonar classification network. But he did it manually. For large networks there is no realistic way to do the trained-network analysis manually. I would appreciate if somebody could suggest any ideas or related references. Thomas -------------------------------------------------------------------------------- | Thomas Fechner Daimler Benz AG | | Parallel Processing Group Research Institute Berlin | | E-mail: uunet!mcsun!unido!b21!fechner Alt-Moabit 91b | | Phone: (..49-30) 39982-255 D-1000 Berlin 21 | | Telefax: (..49-30) 39982107 Federal Republic of Germany | -------------------------------------------------------------------------------