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
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CSTSDE66T6E
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Component-Based Software Engineering (CBSE) is increasingly being accepted worldwide for software development, in most of the industries. Software reliability is defined as the probability that a software system operates with no failure within a specified time on specified operating conditions. Software component reliability and failure intensity are two important parameters that Estimates the reliability of system after integration of component. The estimation of reliability of software can save loss of time, life and cost. In this paper, software reliability has been estimated by analyzing the failure data. The Imperfect Software Reliability Growth Models (SRGMs) model have been used for simulating the software reliability by estimating the number of remaining faults and the model parameters of the fault content rate function. We aim for simulating software reliability by connecting the imperfect debugging and Goel-Okumoto model. The estimation of reliability gives the time of stopping the unending testing of that component or time of release of software component.
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