Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications
Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications
Testing complex-valued perceptron properties experimentally
Optical Memory and Neural Networks
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We consider two ways of identification of structures of chemical compounds--software SARD-21 and the complex-valued perceptron. Results of computational experiments showed the advantage of a neural network. In addition the complex-valued perceptron can produce meaningful recommendations for the synthesis of new compounds.