What question did this study set out to answer?

The aim is to explore how statistical theory can enhance understanding of learning in artificial neural networks.

Learning in Artificial Neural Networks: A Statistical Perspective

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Article reviews statistical techniques in training artificial neural networks, suggesting new training methods.

The aim is to explore how statistical theory can enhance understanding of learning in artificial neural networks.
Review concepts from mathematical statistics, econometrics, systems identification, and optimization theory.
Focus primarily on learning procedures for feedforward networks.
Identified various properties, advantages, and disadvantages of network learning methods.
Suggested potentially useful new training methods for artificial neural networks.

Halbert White (1989) studied this question.

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