A variable-gain finite-time convergent and noise-enduring zeroing neural network (VGFTNE-ZNN) is for the first time proposed for time-variant convex quadratic programming (QP). Differing from the ...

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In this work we have experimented with the use of genetic programming as a feature selection method as well as a classifier to obtain business failure prediction models with different prediction ...

A curated repository of programming problem solutions implemented in C, C++, Java, and Python. Organized by topic and difficulty, it provides a clear and accessible resource for developers and ...