Improving Image Classification Result using Neural Networks
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: Image classification is among the complex processes which depend on several factors. In this paper, the most common existing methods for image classification are compared first and different structures of multilayer Perceptron (MLP) and Radial Basis neural networks (RBF) are then reviewed for classification.Finally, they are compared to non-neural algorithms. The function obtained by using the proposed method enjoys better results as compared to other methods and it has the best result among other methods with respect to accuracy with an average accuracy of 98.84%.
Authors and Affiliations
Seyed Peyman Zolnouri, , Fardad Farokhi, , Mehdi Nadiri Andabili
Keywords
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