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Presents research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures.
Introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. This details the techniques, theory and applications essential to engaging and capitalizing on this developing technology.
Offers education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results.
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