Tech Xplore

A new route to optimize AI hardware: Homodyne gradient extraction

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...
IEEE

Graph-Informed Neural Networks with Green Anaconda Optimization Algorithm Based on Automated Classification of Condition of Mental Health Using Alpha Band EEG Signal

Abstract: Mental Health Status (MHS) Using Alpha Band EEG Signal” is the process of evaluating and categorizing a person's mental state by examining the electroencephalogram (EEG) recording of their ...
Scientific Research Publishing

Hecht-Nielsen (1989) Theory of the Backpropagation Neural Network. International Joint Conference on Neural Networks, New York, 18-22 June 1989, 593-605.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
IEEE

Prediction of DC/DC Boost Converter Switching Power Losses Using a Backpropagation Algorithm Neural Network

Abstract: One significant aspect that influences the overall efficiency of the DC/DC boost converters is the switching power losses incurred during operation. Predicting and optimizing these losses is ...