Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
UT2MI
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
The proof of x ± y = b at system 1 is the premise that was used to prove that P ≠ NP where b is the total sum of input in the subset sum problem. The proof of x ± y = b systems are forms of x ± y = b that was derived from the coexistence of three quantities denoted by n, n + 1, n + 2 where n represents any positive integer. The proof of x ± y = b at system 1 is a computable function definable by an algorithm where n is the argument (input value) of the function to the corresponding output value b. System 1 can be defined as a system which the proof of x ± y = b belongs when n = 1. The proof of x ± y = b at system 1 is the proof of a mathematical method that proves something can evolve from nothing and its graph shows that the shape of the universe is a cone and this can further be mapped with an expanding universe or universes to locate the point of the big bang .i.e. a hypothetical point in space where the universe began. See the reference list for details.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
