This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

The backtracking search optimization algorithm (BSA) is one of the most recently proposed population-based evolutionary algorithms for global optimization. Due to its memory ability and simple ...

In this study, a combination of Smooth Vector Support Machine (SSVM) and the Nguyen Widrow Back propagation algorithm is performed. For many data one of the weaknesses of the SSVM algorithm is the low ...

According to CIO’s State of the CIO Survey 2025, 42% of CIOs say AI and ML are their biggest technology priority for 2025. And while actions driven by ML algorithms can give organizations a ...

The purpose of the first part of this project [1] is to learn the importance of numerical algorithms in the solution of fundamental linear algebra problems frequently occurring in search engines. The ...