IIIT Hyderabad Publications |
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Pattern Classification using Quadratic Neuron: An Experimental StudyAuthors: Ganesh Yaparla,Rhishi Pratap Singh,Garimella Ramamurthy Conference: 8th International Conference on Computing Communication and Networking Technologies 2017 Date: 2017-07-03 Report no: IIIT/TR/2017/67 AbstractIn this paper, we present a study done on quadratic neurons to solve the pattern classification problems. The paper compares the classification results obtained by quadratic neural network(QUAD) with normal single and multilayer percep- tron(MLP). Examples with randomly generated toy datasets are used for understanding and visualization. The standard datasets such as Iris, MNIST and others are used for extensive comparison and interesting experiments. Different architectures of QUAD neural net has also been tested. Obtained results are better in comparison to conventional multilayer perceptron. This experimental study motivates the authors to study usage of QUAD neurons in deep neural networks. Full paper: pdf Centre for Communications |
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