Wave-Net solution

EMPIRICAL LEARNING THROUGH NEURAL NETWORKS THE WAVE-NET SOLUTION... 

In this study the problem of estimating an unknown function from its examples is revisited. Its mathematical description is attempted to map as closely as possible the practical problem that the potential NN user has to face. The objective of the chapter is twofold (1) to draw the framework in which NN solutions to the problem can be developed and studied, and (2) to show how careful considerations on the fundamental issues naturally lead to the Wave-Net solution. The analysis will not only attempt to justify the development of the Wave-Net, but will also refine its operational characteristics. The motivation for studying the functional estimation problem is the derivation of a modeling framework suitable for process control. The applicability of the derived solution, however, is not limited to control implementations. 

Alexandras Koulouris, Bhavik R. Bakshi and George Stephanopoulos, Empirical Learning through Neural Networks The Wave-Net Solution Bhavik R. Bakshi and George Stephanopoulos, Reasoning in Time Modeling, Analysis, and Pattern Recognition of Temporal Process Trends... 

Alexandros Koulouris, Bhavik R. Bakshi and George Stephanopoulos, Empirical Learning through Neural Networks The Wave-Net Solution... 

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