A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...

Abstract: For fault classification in industrial processes, both inaccurate and incomplete supervised information commonly exist in practice, which raise a big challenge to the research field. In this ...

In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern ...

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 ...

We have refactored the entire library to make it easier to understand and use. To avoid installing extra dependencies for additional features, we have commented out the non-numpy dependencies. If you ...

Artificial intelligence (AI) machine learning is helping to transform many industries as an assistive tool for scientists. Researchers have published in Digital Discovery, a The Royal Society of ...

Abstract: Most research studies on deep learning (DL) applied to the physical layer of wireless communication do not put forward the critical role of the accuracy-generalization trade-off in ...

The human brain is an extremely intricate and fascinating organ that is made up of the cerebrum, cerebellum, and brainstem and is protected by the skull. Brain stroke is recognized as a potentially ...

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 ...