Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations

Article Abstract:

A new study investigates the use of a neural network model for predicting daily maximum ozone levels in Houston, TX, and compares it with Autoregressive Integrated Moving Average and regression models.

Forecasts and trends, Environmental aspects, Atmospheric ozone, Houston, Texas, Autoregression (Statistics)

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A neural network representation of linear programming

Article Abstract:

Research into the use of neural networks for modelling and solving a range of mathematical problems is presented. The advantages of neural networks include clear visualization.

Methods, Linear programming

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Sequencing jobs on a single machine: A neural network approach

Article Abstract:

A neural network approach for single machine job sequencing is presented.

Operations Research, Sequential machine theory

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