Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction

作者: A. Cichocki , R. Unbehauen , M. Lendl , K. Weinzierl

DOI: 10.1016/0925-2312(94)E0063-W

关键词:

摘要: … problem and then solved by using suitable neural networks. In this paper we will develop two different approaches to solve the inverse problem… Hopfield-like neural network with a large …

参考文章(41)
W. R. Madych, On Underdetermined Systems Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms. pp. 541- 545 ,(1991) , 10.1007/978-3-642-75536-1_38
Yair Censor, Alvaro R. De-Pierro, Tommy Elfving, Gabor T. Herman, Alfredo N. Iusem, On iterative methods for linearly constrained entropy maximization Banach Center Publications. ,vol. 24, pp. 145- 163 ,(1990) , 10.4064/-24-1-145-163
Richard J. Mammone, Computational methods of signal recovery and recognition John Wiley & Sons, Inc.. ,(1992)
Rolf Unbehauen, Andrzej Cichocki, MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems Springer Berlin Heidelberg. ,(1989) , 10.1007/978-3-642-83677-0
Avinash C. Kak, Azriel Rosenfeld, Digital Picture Processing ,(1976)
Jan Krzysztof. Kowalski, Andrzej . Wakulicz, Numerical analysis and mathematical modelling Banach Center Publications. ,(1990)
Walter E. Lillo, Stefen Hui, Stanislaw H. Żak, Neural networks for constrained optimization problems International Journal of Circuit Theory and Applications. ,vol. 21, pp. 385- 399 ,(1993) , 10.1002/CTA.4490210408