10.2190/6AUV-9EH6-WKY8-G5JE 6AUV9EH6WKY8G5JE 6 Designing and Analyzing Fixed-Bed Adsorption Systems with Artificial Neural Networks 291 312 20020509 20020509 20020509 20020509 6AUV9EH6WKY8G5JE.pdf http://baywood.metapress.com/link.asp?target=contribution&id=6AUV9EH6WKY8G5JE 3 Imad A. Basheer Yacoub M. Najjar Kansas State University, Manhattan Adsorption in fixed beds is a common unit process in water treatment and in a large number of separation technologies. The dynamics of fixed-bed adsorption are commonly described by mathematical models which require a thorough understanding of the complex phenomena. The mathematical models of adsorption, which are a set of partial differential equations describing mass balances and transfer, usually require numerical solution. This article describes the application of artificial neural networks to the problem of predicting the breakthrough time, a critical parameter in adsorption in fixed beds. 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