With the self-purification ability of lake-reservoir water body gradually weakened and the oscillation of dissolved oxygen (DO) concentration intensifying, the high-precision prediction of ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...

Abstract: This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners! Attorney reveals what Kirk shooting suspect told roommate via text: ‘I’d hope to keep this secret’ ...

Abstract: A general backpropagation algorithm is proposed for feedforward neural network learning with time varying inputs. The Lyapunov function approach is used to ...

A few weeks ago, we caught Google linking text within its AI Overviews to its own search results. Well, today that has become a new official feature within AI Overviews. “To help people more easily ...

Faculty of Food Technology and Quality Management of Agricultural Products, National University of Life and Environmental Sciences of Ukraine, Kyiv 57207861801, Ukraine ...

Assessing the lethal resistance levels of buildings during earthquakes is crucial for reducing disaster losses and human casualties. This study proposes a novel model that integrates an improved ...

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...