Learning in networks: Complex-valued neurons, pruning, and rule extraction


This paper focuses on neural networks with complex-valued (CV) neurons as well as on selected aspects of neural networks learning, pruning and rule extraction. CV neurons can be used as versatile substitutes in real-valued perceptron networks. Learning of CV layers is discussed in context of traditional multilayer feedforward architecture. Such learning is… (More)


5 Figures and Tables

Slides referencing similar topics