DocumentCode
2017208
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
Volume
1
fYear
1999
fDate
1999
Firstpage
85
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.843966
Filename
843966
Link To Document