The Behavior of the Complex Integral Neural Network

Authors:
Pan Yong;Hongbao Shi;Li Lei
Affiliations:
-;-;-
Venue:
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Year:
2000

Citing 3
Cited 0

Complex associative memory

Neural Networks
An extension of the back-propagation algorithm to complex numbers

Neural Networks
Complex-valued multistate neural associative memory

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we introduce an Integral Neural Network based on coinplex domain. We describe the model of the neuron, analyze the behavior of the neuron, and indicate that in certain conditions it performs the calculation of Fourier Integration. Have studied on the neural network with hidden layers, we obtain the following facts: 1. This kind of structure can memorize a time variant function; 2. It calculates the convolution of input series and the function the neural network memorized; 3. This neural network structure also can calculate the correlation function; 4. In the case of many hidden layers, it can perform the Fourier Transform with many variants.