Abstract
The present paper presents a synthetic approach to the XOR operation structure combining the cognitive matter of different fields of scientific study in order to elect further utility of this operation for the inequalities measurement in Regional Science. The observation of structural similarities, between the simple perceptron pattern, in artificial neural networks (ANN), and an XOR binary logic gate, in Digital Electronics Theory authorizes these two models to be considered identical for inequalities detection, under the presumption that both of them can provide a solution for the XOR problem. The solution of the XOR problem for a simple perceptron pattern introduces a new inequalities index, aroused as a generalization of the XOR problem’s solution for the ANN simple perceptron model. The new index appears to operate satisfactorily in Regional Science’s inequalities research, providing a significant similar behavior in comparison with the Theil index and performing better in cases that the Theil index calculation presupposes transformation treatment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
