The use of artificial intelligence has radically transformed the way the computer understands reality. It has given rise to ...

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

Abstract: Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and have proven useful and reliable in a wide range of classification and regression problems, they ...

ABSTRACT: We consider qualitatively robust predictive mappings of stochastic environmental models, where protection against outlier data is incorporated. We utilize digital representations of the ...

Abstract: In artificial neural network (ANN), the basic perceptron algorithm plays a significant role in supervised machine learning due to its simple structure. Though it cannot solve some non-linear ...

This library is designed to be used with the Arduino IDE. Multilayer perceptron is decribed here. This library implements both training and inference phases on a dataset. Datasets can be created in ...

1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...