An efficient FLANN model with CRO-based gradient descent learning for classification
Year of publication: |
2016
|
---|---|
Authors: | Naik, Bighnaraj ; Nayak, Janmenjoy ; Behera, Himansu Sekhar |
Published in: |
International journal of business information systems : IJBIS. - Olney, Bucks. : Inderscience Enterprises, ISSN 1746-0972, ZDB-ID 2193362-5. - Vol. 21.2016, 1, p. 73-116
|
Subject: | data mining | machine learning | classification | functional link artificial neural network | FLANN | gradient descent learning | GDL | chemical reaction optimisation | CRO | particle swarm optimisation | genetic algorithm | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Data Mining | Data mining | Mathematische Optimierung | Mathematical programming | Lernprozess | Learning process | Evolutionärer Algorithmus | Evolutionary algorithm | Klassifikation | Classification | Algorithmus | Algorithm | Theorie | Theory |
-
Adapting support vector optimisation algorithms to textual gender classification
Gomez, Javier, (2024)
-
Hannah, M. Esther, (2019)
-
Profit driven decision trees for churn prediction
Höppner, Sebastiaan, (2020)
- More ...
-
Kanungo, D.P., (2016)
-
FLANN + BHO: A Novel Approach for Handling Nonlinearity in System Identification
Naik, Bighnaraj, (2018)
-
Nayak, Sarat Chandra, (2016)
- More ...