© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
I. LivshinArtificial Neural Networks with Javahttps://doi.org/10.1007/978-1-4842-7368-5_9

9. Approximation of Continuous Functions with Complex Topology

Igor Livshin1  
(1)
Chicago, IL, USA
 

This chapter shows that the micro-batch method substantially improves the approximation results of continuous functions with complex topology.

Example: Approximation of Continuous Functions with Complex Topology Using a Conventional Neural Network Process

Figure 9-1 shows one such function. The function has the formula $$ y=\sqrt{e^{-\left(\right)}}, $$ but let’s pretend that the function formula is unknown ...

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