NeuralTools: Preparing Data

Prepare neural net data carefully: select variables, transform/normalize as needed. See Masters, Lawrence, and Yu et al. for detailed guidance.

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Applies to: NeuralTools, all releases

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Best practices:

Review literature on neural net data prep.

Key references:
- Masters, Practical Neural Network Recipes Ch.16 (1993) and Signal & Image Processing with Neural Networks Ch.3 (1994)
- Lawrence, Data Preparation for a Neural Network (PDF); Yu et al., “An Integrated Data Preparation Scheme for Neural Network Data Analysis,” IEEE Trans. on Knowledge & Data Eng., 18:2 (2006).

These cover variable selection, transformations, normalization, handling missing values, and other prep best practices.

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preparing-data-for-neural-tools

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