Using the Bees Algorithm to Optimise a Support Vector Machine for Wood Defect Classification D.T. Pham, Z. Muhamad, M. Mahmuddin, - Least squares support vector machine - Document - PDFSEARCH.IO

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	Using the Bees Algorithm to Optimise a Support Vector Machine for Wood Defect Classification D.T. Pham, Z. Muhamad, M. Mahmuddin, Add to Reading List Document Date: 2011-10-18 09:39:47 Open Document File Size: 55,54 KB Share Result on Facebook City Oxford / / Company Cambridge University Press / NEC / / Country Singapore / / Facility Cardiff University / / IndustryTerm neural networks / optimisation tool / nearoptimal solutions / fuzzy min-max neural networks / neural network / food foraging behaviour / immune clonal algorithm / inner product / bees algorithm / learning technology / search space / inspection systems / optimisation tools / search algorithms / / Organization Cambridge University / European Union / Cardiff University / S. Otri Manufacturing Engineering Centre / European Regional Development Fund / / Person Drake P. R. Identifying / / PublishedMedium Machine Learning / / Technology immune clonal algorithm / Vapnik V. Universal learning technology / Data Mining / swarm-based algorithm / Machine Learning / neural network / search algorithms / AVI / Zaidi M. The bees algorithm / / URL http / SocialTag Support vector machines Artificial intelligence Bees algorithm Feature selection Least squares support vector machine Ranking SVM Statistics Machine learning Statistical classification

Using the Bees Algorithm to Optimise a Support Vector Machine for Wood Defect Classification D.T. Pham, Z. Muhamad, M. Mahmuddin,Add to Reading List