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Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal Authors t eve n P e t e r s o n an n d A l b e r t B. F l an n a g an abstracting a large sample of 46,467 residential properties

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What is neural network hedonic pricing?

Neural network hedonic pricing is a method used to estimate the value of a good or service based on its attributes using artificial neural networks.

Who is required to file neural network hedonic pricing?

Anyone involved in pricing goods or services based on their attributes may be required to file neural network hedonic pricing.

How to fill out neural network hedonic pricing?

To fill out neural network hedonic pricing, one must input the attributes of the good or service into a neural network model and let the algorithm estimate its value.

What is the purpose of neural network hedonic pricing?

The purpose of neural network hedonic pricing is to accurately determine the value of a good or service based on its characteristics, helping businesses make pricing decisions.

What information must be reported on neural network hedonic pricing?

Information such as the attributes of the good or service, the neural network model used, and the estimated value calculated must be reported on neural network hedonic pricing.

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