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An Experimental Study of Multi-Layer Multi-Valued Neural Network
- Source :
- ICDIS
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Complex numbers are used to represent data in many practical applications such as in telecommunications, image processing, and speech recognition. In this work, we examine the efficiency of complex-valued neural networks and compare that with their real-valued counterpart. Specifically, we examine the performance of neural network with Multi Layer Multi-Valued Neuron (MLMVN) for classification on several benchmark datasets such as Iris and MNIST datasets. It is shown that in applications where complex numbers occur naturally, complex-valued neural networks such as MLMVN network could offer advantages such as more efficient embedding and processing of information over their real-valued counterparts. It is also observed that complex-valued neural networks have a tendency of overfitting especially in applications involving large datasets. Potential solution to the overfitting problem has been discussed.
Details
- Database :
- OpenAIRE
- Journal :
- 2019 2nd International Conference on Data Intelligence and Security (ICDIS)
- Accession number :
- edsair.doi...........c64f0b8840f54317d05c9131c8b82156