Orthogonal and successive projection methods for the learning of neurofuzzy GMDH
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on modeling with soft-computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The design of self-organizing polynomial neural networks
Information Sciences—Informatics and Computer Science: An International Journal
Accelerated Genetic Programming of Polynomials
Genetic Programming and Evolvable Machines
A Hyperheuristic Approach to Scheduling a Sales Summit
PATAT '00 Selected papers from the Third International Conference on Practice and Theory of Automated Timetabling III
A Tabu-Search Hyperheuristic for Timetabling and Rostering
Journal of Heuristics
A tutorial on support vector regression
Statistics and Computing
GMDH-type neural network modeling in evolutionary optimization
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication
Computers and Industrial Engineering - Special issue: Sustainability and globalization: Selected papers from the 32 nd ICC&IE
Thalassaemia classification by neural networks and genetic programming
Information Sciences: an International Journal
An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A comprehensive analysis of hyper-heuristics
Intelligent Data Analysis
Information Sciences: an International Journal
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Letters: Energy demand prediction using GMDH networks
Neurocomputing
Engineering Applications of Artificial Intelligence
A dynamic classifier ensemble selection approach for noise data
Information Sciences: an International Journal
Using GMDH-based networks for improved spam detection and email feature analysis
Applied Soft Computing
Integrating neural networks and logistic regression to underpin hyper-heuristic search
Knowledge-Based Systems
A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers
Information Sciences: an International Journal
A GMDH-based fuzzy modeling approach for constructing TS model
Fuzzy Sets and Systems
Genetically optimized fuzzy polynomial neural networks
IEEE Transactions on Fuzzy Systems
Training feedforward networks with the Marquardt algorithm
IEEE Transactions on Neural Networks
| Hi-index | 0.07 |
In this paper we present a novel method aiming at constructing Group Method of Data Handling networks (GMDH), assisted by hyper-heuristics algorithms. The proposed approach is based on an evolutionary hyper-heuristic, which completely automates the GMDH construction, by evolving the number of layers, the polynomial type and the number of selected nodes in each layer of the network. It results in a completely self-organized algorithm called Hyper Heuristic-GMDH (HH-GMDH). In the paper we focus on the definition of the hyper-heuristic approach proposed, including the basic heuristics to be evolved, the evolutionary algorithm encoding, and a comprehensive description of its evolutionary operators. We explore two versions of the HH-GMDH approach, depending on how a regularization parameter (@l) is determined in the algorithm. We have tested the proposed HH-GMDH algorithm in problems from UCI public repository [52] and in two real problems: (1) temperature prediction in Barcelona's airport and (2) total ozone content prediction at the Iberian Peninsula. In these problems, we show that the proposed HH-GMDH outperforms the classical GMDH network.