Empirical Studies on Applications of Neural Networks as Approximation Oracle
K. K. Aggarwal, Yogesh Singh & Arvinder Kaur
Journal of Computer Science, Volume 1, Issue 3, pp. 341–345 · doi.org/10.3844/jcssp.2005.341.345
Abstract
Expected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies.
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Aggarwal, K. K., Singh, Y. & Kaur, A. (2005). Empirical Studies on Applications of Neural Networks as Approximation Oracle. Journal of Computer Science, 1(3), 341–345. https://doi.org/10.3844/jcssp.2005.341.345
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