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Baker, Bruce D.; Richards, Craig E. – Economics of Education Review, 1999
Applies neural network methods for forecasting 1991-95 per-pupil expenditures in U.S. public elementary and secondary schools. Forecasting models included the National Center for Education Statistics' multivariate regression model and three neural architectures. Regarding prediction accuracy, neural network results were comparable or superior to…
Descriptors: Algorithms, Econometrics, Elementary Secondary Education, Expenditure per Student
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Elizondo, Rodolpho; And Others – Economics of Education Review, 1997
With over 260 schools and 200,000 students, Houston has one of the nation's largest school systems. Population growth, geographic population shifts, and historic policies have all contributed to an undesirable distribution of students within the district. This paper describes an algorithm's use in evaluating competing school capacity plans and…
Descriptors: Algorithms, Economic Factors, Educational Facilities, Educational Planning