Name
Title | ||
|---|---|---|
Crosscorrelation estimation using teacher forcing Hebbian learning and its application |
Abstract | ||
|---|---|---|
This paper proposes a new network architecture to compute the temporal crosscorrelation function between two signals, either stationary or local stationary. We show that the weights of a multi-FIR-like filter trained with a teacher forcing Hebbian rule encode the crosscorrelation function between the input and the desired response. This temporal correlation idea is applied to the blind sources separation problem. And experimental results are also given to show the validation of the idea |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICNN.1996.548905 | Neural Networks, 1996., IEEE International Conference |
Keywords | Field | DocType |
fir filters,hebbian learning,correlation methods,filtering theory,neural net architecture,blind sources separation problem,crosscorrelation estimation,local stationary signals,multi-fir-like filter,neural network architecture,teacher forcing hebbian learning,temporal correlation,temporal crosscorrelation function,computer architecture,network architecture,unsupervised learning,application software,blind source separation,backpropagation,finite impulse response filter,decorrelation,hebbian theory,neural engineering | ENCODE,Decorrelation,Computer science,Algorithm,Network architecture,Hebbian theory,Unsupervised learning,Artificial intelligence,Finite impulse response,Application software,Backpropagation | Conference |
Volume | ISBN | Citations |
1 | 0-7803-3210-5 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuan Wang | 1 | 0 | 0.34 |
| Hsiao-Chun Wu | 2 | 0 | 0.34 |
| Principe, J.C. | 3 | 4 | 2.80 |