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Inductive Learning Algorithms for Complex Systems ModelingJanuary 1994
Abstract
No abstract available.
Cited By
- Kochueva O and Akhmetzianov R Surrogate Models for the Compressibility Factor of Natural Gas Distributed Computer and Communication Networks: Control, Computation, Communications, (516-526)
- Dyvak M, Melnyk A, Rot A, Hernes M, Pukas A and Murari A (2022). Ontology of Mathematical Modeling Based on Interval Data, Complexity, 2022, Online publication date: 1-Jan-2022.
- Lal A and Datta B (2021). Application of the group method of data handling and variable importance analysis for prediction and modelling of saltwater intrusion processes in coastal aquifers, Neural Computing and Applications, 33:9, (4179-4190), Online publication date: 1-May-2021.
- Pattanaik M, Choudhary R and Kumar B (2019). Prediction of frictional characteristics of bituminous mixes using group method of data handling and multigene symbolic genetic programming, Engineering with Computers, 36:4, (1875-1888), Online publication date: 1-Oct-2020.
- Harandizadeh H, Armaghani D and Mohamad E (2020). Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets, Neural Computing and Applications, 32:17, (14047-14067), Online publication date: 1-Sep-2020.
- Panoiu M, Panoiu C, Rusu-Anghel S and Rob R Modeling the Pantograph-Catenary Contact in Electric Railway Transportation using Group Method of Data Handling IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, (3809-3814)
- (2019). A study of the internet financial interest rate risk evaluation index system in cloud computing, International Journal of Information and Computer Security, 11:2, (103-119), Online publication date: 1-Jan-2019.
- Alexandrov M, Skitalinskaya G, Cardiff J, Koshulko O and Shushkevich E Classifiers for Yelp-Reviews Based on GMDH-Algorithms Computational Linguistics and Intelligent Text Processing, (412-430)
- Schmidhuber J (2015). Deep learning in neural networks, Neural Networks, 61:C, (85-117), Online publication date: 1-Jan-2015.
- Teng G, He C, Xiao J and Jiang X (2013). Customer credit scoring based on HMM/GMDH hybrid model, Knowledge and Information Systems, 36:3, (731-747), Online publication date: 1-Sep-2013.
- Roh S, Ahn T and Pedrycz W (2012). Fuzzy linear regression based on Polynomial Neural Networks, Expert Systems with Applications: An International Journal, 39:10, (8909-8928), Online publication date: 1-Aug-2012.
- Lin J (2012). A novel design of wafer yield model for semiconductor using a GMDH polynomial and principal component analysis, Expert Systems with Applications: An International Journal, 39:8, (6665-6671), Online publication date: 1-Jun-2012.
- Zhang M, He C and Liatsis P (2012). A D-GMDH model for time series forecasting, Expert Systems with Applications: An International Journal, 39:5, (5711-5716), Online publication date: 1-Apr-2012.
- Zhu B, He C, Liatsis P and Li X (2012). A GMDH-based fuzzy modeling approach for constructing TS model, Fuzzy Sets and Systems, 189:1, (19-29), Online publication date: 1-Feb-2012.
- Sokolova M and Fernández-Caballero A (2011). Hybrid models in agent-based environmental decision support, Applied Soft Computing, 11:8, (5243-5258), Online publication date: 1-Dec-2011.
- Xiao J, He C and Jiang X (2009). Structure identification of Bayesian classifiers based on GMDH, Knowledge-Based Systems, 22:6, (461-470), Online publication date: 1-Aug-2009.
- Pujol O, Escalera S and Radeva P (2008). An incremental node embedding technique for error correcting output codes, Pattern Recognition, 41:2, (713-725), Online publication date: 1-Feb-2008.
- Aksenova T, Volkovich V and Villa A Robust structural modeling and outlier detection with GMDH-type polynomial neural networks Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II, (881-886)
- Kordík P and Šnorek M Ensemble techniques for credibility estimation of GAME models Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II, (127-132)
- Nikolaev N and Iba H (2003). Polynomial harmonic GMDH learning networks for time series modeling, Neural Networks, 16:10, (1527-1540), Online publication date: 1-Dec-2003.
- Schetinin V (2003). A Learning Algorithm for Evolving Cascade Neural Networks, Neural Processing Letters, 17:1, (21-31), Online publication date: 4-Mar-2003.
- Moore A and Schneider J Real-valued all-dimensions search Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence, (360-369)
- Shadbolt J and Taylor J References Neural networks and the financial markets, (261-268)
- Nikolaev N and Iba H (2001). Accelerated Genetic Programming of Polynomials, Genetic Programming and Evolvable Machines, 2:3, (231-257), Online publication date: 1-Sep-2001.
- Brandt D Dynamic approaches to setting learning objectives when teaching with new technologies Proceedings of the 22nd annual ACM SIGUCCS conference on User services, (177-179)
- Nyah N, Jakaite L, Schetinin V, Sant P and Aggoun A Evolving polynomial neural networks for detecting abnormal patterns 2016 IEEE 8th International Conference on Intelligent Systems (IS), (74-80)
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