Two-dimensional m-ary extension of the Hopfield neural network model
Richard Bijjani, P. K. Das · Annual Meeting Optical Society of America · 1987
Hopfield presented a simple model to describe the storage of 1-D binary signals in a neural network. In this model, signals are stored in the interconnections between the processing elements and not in the elements themselves. The model is capable of retrieving a stored signal even if presented with very distorted versions. The retrieval operation requires a series of matrix-vector multiplications followed by simple threshold operations. An extension of this model which enables the network to process 2-D m-ary signals is proposed. The amount of calculation required remains largely unchanged.