Title :
A matrix approach to neural network inversion
Author :
Flax, Matthew R. ; Jin, Jesse S.
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Australia
Abstract :
Bidirectional systems are used to transform between known or desired input and output data in either direction. This paper compares two different methods for transforming from output to input data. It is outlined for transformation systems where the forward transform uses a kernel which has been adaptively/iteratively found but require an inversion scheme which maps exactly the forward transformation
Keywords :
matrix algebra; neural nets; bidirectional systems; kernel; matrix approach; neural network inversion; output to input data transformation; Australia; Computer science; Control systems; Decoding; Feedforward neural networks; Feeds; Image coding; Integrated circuit modeling; Kernel; Neural networks;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.843966
