Survey of random neural network applications

This paper consists of a survey of various engineering applications based on the random neural network (RNN) model, and also a summary of the recent image processing techniques such as still image compression, image enlargement, and image fusion. The advantage of the RNN model is that it is closer to biophysical reality and mathematically more tractable than standard neural methods, especially when used as a recurrent structure.