ISSN:
1573-773X
Schlagwort(e):
neural network evolutionary optimization
;
arbitrary FIR filter synthesis
;
eigenproblem
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Informatik
Notizen:
Abstract We propose a neural network to synthesize an arbitrary FIR filter in a least square sense. The network can evolve to its steady-states or equilibrium points from any initial state in the magnitude of the circuit's time constant. Under the steady-state, the output of the network is just our designed FIR filter coefficient if a real, symmetric, and positive-definite matrix calculated by the design specifications is directly used as the synaptic strength matrix.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1023/A:1009608911373
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