Abstract
A novel modular optimized hydrid Group Method in Data Handling (GMDH) network is proposed in this paper. A standard GMDH network is optimized using the Discrete Differential Evolution (DDE) algorithm for an optimized network structure, and Singular Value Decomposition (SVD) is further used for coefficient calculations of the network. The developed DE-GMDH algorithm is tested for fitness accuracy, memory usage and maximal error on a manufacturing problem.
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Davendra, D., Martinek, P. (2020). An Optimised Hybrid Group Method in Data Handling (GMDH) Network. In: Zelinka, I., Brandstetter, P., Trong Dao, T., Hoang Duy, V., Kim, S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham. https://doi.org/10.1007/978-3-030-14907-9_24
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DOI: https://doi.org/10.1007/978-3-030-14907-9_24
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