Inference for under-dispersed data: Assessing the performance of an airborne spacing algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Quality Engineering"
DOI: 10.1080/08982112.2018.1482339
Abstract: Abstract Poisson regression is a commonly used tool for analyzing rate data; however, the assumption that the mean and variance of a process are equal rarely holds true in practice. When this assumption is violated,… read more here.
Keywords: inference dispersed; dispersed data; performance; spacing algorithm ... See more keywords
Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data
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DOI: 10.3390/e25050703
Abstract: This study concerns dispersed data stored in independent local tables with different sets of attributes. The paper proposes a new method for training a single neural network—a multilayer perceptron based on dispersed data. The idea… read more here.
Keywords: based dispersed; study use; artificial objects; number ... See more keywords