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Home > Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I > Analysis of Large Scale Power Systems via LASSO Learning Algorithms
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I |
Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada
Springer International Publishing
Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I
Analysis of Large Scale Power Systems via LASSO Learning Algorithms
Authors

Mirosław Pawlak; Jiaqing Lv

ARI Id

1665185684705_5209012

Access

Not Available Free

Pages

652-662

DOI

10.1007/978-3-030-20912-4_59

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-20912-4_59

Table of Contents of Book
Showing 1 to 20 of 68 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxii
Front Matter
1-1
SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks
Tahani Alkhudaydi; Ji Zhou; Beatriz De La lglesia
3-13
Modifications of the Givens Training Algorithm for Artificial Neural Networks
Jarosław Bilski; Bartosz Kowalczyk; Andrzej Cader
14-28
Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU
João Pedro Augusto Costa; Omar Andres Carmona Cortes; Valério Breno Santos Nunes de Oliveira; Ada Cristina França da Silva
29-38
Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish
Sławomir Dadas
39-50
Sensitivity Analysis of the Neural Networks Randomized Learning
Grzegorz Dudek
51-61
On Approximating Metric Nearness Through Deep Learning
Magzhan Gabidolla; Alisher Iskakov; M. Fatih Demirci; Adnan Yazici
62-72
Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks
Allan Gurwicz; Smith Arauco Canchumuni; Marco Aurélio Cavalcanti Pacheco
73-84
Resilient Environmental Monitoring Utilizing a Machine Learning Approach
Dan Häberlein; Lars Kafurke; Sebastian Höfer; Bogdan Franczyk; Bernhard Jung; Erik Berger
85-93
Study of Learning Ability in Profit Sharing Using Convolutional Neural Network
Kazuki Hashiba; Yuko Osana
94-101
Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System
Mateusz Heesch; Ziemowit Dworakowski
102-112
Robust Training of Radial Basis Function Neural Networks
Jan Kalina; Petra Vidnerová
113-124
Sequential Data Mining of Network Traffic in URL Logs
Marcin Korytkowski; Jakub Nowak; Robert Nowicki; Kamila Milkowska; Magdalena Scherer; Piotr Goetzen
125-130
On Learning and Convergence of RBF Networks in Regression Estimation and Classification
Adam Krzyżak; Marian Partyka
131-142
Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation
Mateusz Modrzejewski; Mateusz Dorobek; Przemysław Rokita
143-152
Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion
Hafiz Tayyab Mustafa; Fanghui Liu; Jie Yang; Zubair Khan; Qiao Huang
153-163
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
Patryk Najgebauer; Rafał Grycuk; Leszek Rutkowski; Rafał Scherer; Agnieszka Siwocha
164-171
Application of Spiking Neural Networks to Fashion Classification
Piotr Opiełka; Janusz T. Starczewski; Michał Wróbel; Katarzyna Nieszporek; Alina Marchlewska
172-180
Text Language Identification Using Attention-Based Recurrent Neural Networks
Michał Perełkiewicz; Rafał Poświata
181-190
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 68 entries
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