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Abstract
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| In this paper we are apply Artificial Metaplasticity MLP (MMLPs) to Breast Cancer Classification. Artificial Metaplasticity is a novel ANN training algorithm that gives more relevance to less frequent training patterns and subtract relevance to the frequent ones during training phase, achieving a much more efficient training, while at least maintaining the Multilayer Perceptron performance. Wisconsin Breast Cancer Database (WBCD) was used to train and test MMLPs. WBCD is a well-used database in machine learning, neural networks and signal processing. Experimental results show that MMLPs reach better accuracy than any other recent results | |
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International
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Si |
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Congress
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IWINAC 2009 |
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960 |
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Place
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Santiago de Compostela |
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Reviewers
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Si |
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ISBN/ISSN
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978-3-642-02266-1 |
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10.1007/978-3-642-02267-8_20 |
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Start Date
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22/06/2009 |
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End Date
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26/06/2009 |
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From page
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48 |
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To page
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54 |
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Bioinspired Applications in Artificial and Natural Computation (IWINAC 039;09). LNCS 5602 |