Computational Learning in Engineering

Authors

Catarina Silva
Universidade de Coimbra, FCTUC, DEI
https://orcid.org/0000-0002-5656-0061
Bernardete Ribeiro
Universidade de Coimbra, FCTUC, DEI
https://orcid.org/0000-0002-9770-7672
Keywords: Computational Learning in Engineering

Synopsis

Computational Learning in Engineering allows engineers to use computational learning techniques to develop solutions that promote or improve productivity in various domains. This book approaches several themes, ranging from conexionist approaches, learning techniques by data agglomeration, fuzzy logic and evolutionary computing methods, among others, always having in mind the use of techniques in a fast and efficient way, without neglecting, however, the accuracy that the subject deserves.

It is thus presented a set of the most used algorithms and a representative set of the real problems to which they can give solution. In order to make the book reasonably self-contained, each chapter includes a short introduction to the algorithm addressed, followed by simple ways of putting it into practice. In this sense, the mode of use of software that makes the algorithms available, their configuration and their use in real cases and data is presented.

Author Biographies

Catarina Silva, Universidade de Coimbra, FCTUC, DEI

Catarina Silva graduated in Electrical Engineering and obtained her Master's and PhD in Computer Engineering from the University of Coimbra in 1997, 2000 and 2009, respectively. She is a Professor at the Department of Computer Engineering of the University of Coimbra. She is also a researcher at the Adaptive Computing Group of the Computer Science and Systems Centre of the University of Coimbra (CISUC).
Catarina Silva is president of the Portuguese section of the Institute of Electrical and Electronics Engineers (IEEE) and president of the General Assembly.
of the Portuguese Association for the Recognition of Standards (APRP).
Its research interests include intelligent systems, computer learning and its applications, especially text classification, and mobile application development.
She is the author and co-author of several books, magazine and conference papers, as well as a member of the programme committee of several conferences
and national and international magazines.

Bernardete Ribeiro, Universidade de Coimbra, FCTUC, DEI

Bernardete Ribeiro is a Professor at the Department of Informatics Engineering of the University of Coimbra, having obtained her PhD in Electrical Engineering, a speciality in Informatics, and the Agregação in Informatics Engineering. She is Director of the Computer Science and Systems Centre of the University of Coimbra (CISUC). Bernardete Ribeiro was President of the Portuguese Standards Recognition Association (APRP). She is a researcher in the Adaptive Computing Group of the Computer Science and Systems Centre of the University of Coimbra. She is also Founder and Director of the Laboratory of Artificial Neural Networks (LARN) since 1997.

Her research interests include pattern recognition, intelligent systems, computer learning and their applications. She acts regularly in evaluation panels of US, EU and Portuguese institutions, and as associate editor and reviewer of several journals. She is author or co-author of several publications, including books, journal articles and international and national conferences.

Published
November 26, 2020
Series

Details about this monograph

ISBN-13 (15)
978-989-26-2011-4
doi
10.14195/978-989-26-2011-4