Comparing the Performances of Logistic Regression and Artificial neural Network Models in Predicting Swimming Conditions Along the Lincoln Beach Area of Lake Pontchartrain, New Orleans, LA

摘要

Natural bathing beaches serve as a major source of recreation throughout the United States. However, their potential for disease transmission via water contact and/or ingestion is a public health concern. The Lincoln Beach area of Lake Pontchartrain, New Orleans, LA, has for many years been polluted to an extent that swimming and other recreational activities have been drastically curtailed. In an effort to assess water quality and to gauge the recreational viability of Lincoln Beach, indicator organisms are used to help estimate the level of swimmability within a selected time period. A sampling grid of 12 sites along the beach was determined for the collection of environmental data.