Titlebook: Nonlinear System Identification; From Classical Appro Oliver Nelles Textbook 2020Latest edition The Editor(s) (if applicable) and The Autho

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Model Complexity Optimizationscussed approaches are suitable or preferable, but it is important to understand the many alternative possibilities. Finding the right model complexity is often more important than finding the right model architecture. Thus, this chapter can be considered as the most crucial in Part A.

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Input Selection for Local Model Approaches is introduced, which represents an excellent tool helping to visualize the main characteristics of high-dimensional mappings and should become more familiar in general and particularly in engineering. Also, the general issue of input relevance is addressed, which also can help in a data mining context.

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GROSS

Summary of Part IThis chapter gives a summary of Part A: Optimization.

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978-3-030-47441-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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