Optimising neural networks for identification of wood defects using the bees algorithm
2006 IEEE International Conference on Industrial Informatics, INDIN'06, Singapore, Singapur, 16 - 18 Ağustos 2006, ss.1346-1351, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/indin.2006.275855
- Basıldığı Şehir: Singapore
- Basıldığı Ülke: Singapur
- Sayfa Sayıları: ss.1346-1351
- Boğaziçi Üniversitesi Adresli: Hayır
Özet
This paper presents an application of the Bees Algorithm (BA) to the optimisation of neural networks for wood defect detection. This novel population-based search algorithm mimics the natural foraging behaviour of swarms of bees. In its basic version, the algorithm performs a kind of neighbourhood search combined with random search. Following a brief description of the algorithm, the paper gives the results obtained for the wood defect identification problem demonstrating the efficiency and robustness of the new algorithm. ©2006 IEEE.