Saleh, Amir and Tulus, Tulus and Efendi, Syahril (2019) Analysis of Accurate Learning in Radial Basis Function Neural Network Using Cosine Similarity on Leaf Recognition. In: Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia.
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Abstract
RBF network is a method of artificial neural networks that perform hybrid learning, namely supervised learning and unsupervised learning. Basically, problem found in learning of RBF network that is a difficult to determine the centroid exactly and weight of network the less optimal. Generally, to de
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:23 |
| Last Modified: | 17 Apr 2026 13:49 |
| URI: | http://eprints.eai.eu/id/eprint/24312 |
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