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What is Weights

Encyclopedia of Information Science and Technology, Second Edition
Strength of a connection between two neurons in a neural network.
Published in Chapter:
Neural Networks for Automobile Insurance Pricing
Ai Cheo Yeo (Monash University, Australia)
DOI: 10.4018/978-1-60566-026-4.ch446
Abstract
In highly competitive industries, customer retention has received much attention. Customer retention is an important issue, as loyal customers tend to produce greater cash flow and profits, are less sensitive to price, bring along new customers and do not require any acquisition or start-up costs.
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Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors
They are numerical parameters in an ANN that converts an input to control the output.
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Major Components of Green Urbanization and Their Relative Importance: A Study on Some Districts of West Bengal (India)
In statistics, imputing weights is known as a technique in which a data item (such as an average) is emphasized more than other data items comprising a group or summary. A number (weight) is assigned to each data item that reflects its relative importance based on the objective of the data collection.
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Stochastic Frontier Analysis and Cancer Survivability
These are the statistical unknowns in the primal model to determine the importance of each among the inputs or outputs. Since a value assigned to each weight depends on the measurement scale of the input or output itself, it is difficult to compare these weights of different inputs or outputs.
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