The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Applications in Machine Learning
Abstract
This chapter presents the fundamental concepts regarding the application of PSO on machine learning problems. The main objective in such problems is the training of computational models for performing classification and simulation tasks. It is not our intention to provide a literature review of the numerous relative applications. Instead, we aim at providing guidelines for the application and adaptation of PSO on this problem type. To achieve this, we focus on two representative cases, namely the training of artificial neural networks, and learning in fuzzy cognitive maps. In each case, the problem is first defined in a general framework, and then an illustrative example is provided to familiarize readers with the main procedures and possible obstacles that may arise during the optimization process.
Related Content
|
Shaun Ruysenaar.
© 2021.
26 pages.
|
|
Rasheed O. Azeez.
© 2021.
13 pages.
|
|
Ziska Fields.
© 2021.
28 pages.
|
|
Chunfang Zhou, Lars Bo Henriksen, Søren Kerndrup.
© 2021.
15 pages.
|
|
Cookie M. Govender.
© 2021.
26 pages.
|
|
Crystal Yolande Herborn, Frances Scholtz.
© 2021.
23 pages.
|
|
Ziska Fields, Zainab Mahammad Abdullah, Aidah Nakayiwa Musisi, Nadine Kirsten Mitchley.
© 2021.
23 pages.
|
|
|