OPTICAL BIPOLAR KTH-ORDER NEURAL-NETWORK-BASED ON INNER-PRODUCT REPRESENTATION

A new polarization-encoding scheme for a bipolar kth-order neural netw ork based on inner-product representation is proposed. Bipolar data mu ltiplication is achieved as the rotation of linearly polarized light. A compact architecture of the bipolar kth-order neural network is sugg ested. In the architecture, no subtractions are needed, and the thresh old levels for the neurons are fixed. Also, we show that a liquid-crys tal device such as a liquid-crystal television is acceptable as a pola rization modulator in the proposed architecture by computer simulation .