Direct Frequency Information Processing Using Neural Networks
نویسندگان
چکیده
Frequency information processing using complex valued neural networks is proposed Learning process is realized by adjusting delay time and conductance of neural connections Experimental results demonstrate that the network learns successfully an intended output pro le smoothly in frequency domain This result is applicable not only to frequency signal processing but also to future optical neural computing and quantum neural devices
منابع مشابه
Generalization Ability of Frequency Information Processing Neural Networks
Frequency domain generalization in complex valued neural networks is analyzed The complex valued neu ral networks consist of variable delay lines neural connection conductance and complex neuron nonlinearity The learning of frequency pro les is realized by adjusting the delay time and the conductance using backprop agation process The information geometry is discussed for obtaining a parameter ...
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تاریخ انتشار 2006