Testing complex-valued perceptron properties experimentally

Authors:
R. M. Akhmetshin;V. M. Giniyatullin;S. A. Kirlan;A. V. Kirlan;E. I. Melnitskaya
Affiliations:
Research Technological Herbicide Institute, Ufa State Oil Engineering University, Ufa, Russia;Research Technological Herbicide Institute, Ufa State Oil Engineering University, Ufa, Russia;Research Technological Herbicide Institute, Ufa State Oil Engineering University, Ufa, Russia;Research Technological Herbicide Institute, Ufa State Oil Engineering University, Ufa, Russia;Research Technological Herbicide Institute, Ufa State Oil Engineering University, Ufa, Russia
Venue:
Optical Memory and Neural Networks
Year:
2013

Citing 2
Cited 0

Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications

Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications
Identification of structures of organic substances by means of complex-valued perceptron

Optical Memory and Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

We have formed a sequence of steps for evaluating properties of chemical compounds. Our experiments have proved that complex-valued perceptrons can be used for predicting chemical properties. An algorithm has been developed to additionally train complex-valued perceptrons.