Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sabrine Slama"'
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 26:144-168
A new adaptive kernel principal component analysis (KPCA) for non-linear discrete system control is proposed. The proposed approach can be treated as a new proposition for data pre-processing techn...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bedd58f0c18c3e21e433fd0f8081a1a
https://doi.org/10.1080/13873954.2019.1710715
https://doi.org/10.1080/13873954.2019.1710715
Publikováno v:
Deep Learning Applications
This chapter proposes an optimization technique of Artificial Neural Network (ANN) controller, of single-input single-output time-varying discrete nonlinear system. A bio-inspired optimization technique, Particle Swarm Optimization (PSO), is proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b55b46edd9a9729bf0ff0278aba461d5
https://doi.org/10.5772/intechopen.96424
https://doi.org/10.5772/intechopen.96424
Publikováno v:
2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET).
This paper deals with the synthesis of an adaptive controller for multi-input multi-output nonlinear systems based on Radial Basis Function (RBF) neural networks. The stable controller-parameters adjustment mechanism is determined using the convergen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f45a5cfaf4bbd387a05723bfaaeb0e
https://doi.org/10.1109/aset.2018.8379880
https://doi.org/10.1109/aset.2018.8379880
Publikováno v:
International Journal of Computer Applications in Technology. 60:215
This paper presents a new algorithm of a neural network model reference adaptive controller that uses a variable learning rate. It illustrates how the learning rate affects directly training speed. The neural network training algorithms, such as back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd6c51e0d0ecbe957af153f4d5c5857a
https://doi.org/10.1504/ijcat.2019.100296
https://doi.org/10.1504/ijcat.2019.100296