Wastewater Treatment Systems from Case–Based Reasoning

Authors:
Srinivas Krovvidy;William G. Wee
Affiliations:
Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati OH 45221-0030. SKROVVID@UCENG.UC.EDU;Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati OH 45221-0030. WWEE@UCENG.UC.EDU
Venue:
Machine Learning - Special issue on case-based reasoning
Year:
1993

Citing 0
Cited 6

Concept Formation in WWTP by Means of Classification Techniques: ACompared Study

Applied Intelligence
Artificial Intelligence and Environmental Decision Support Systems

Applied Intelligence
Intelligent Sequence Planning for Wastewater Treatment Systems

IEEE Expert: Intelligent Systems and Their Applications
Applying and optimizing case-based reasoning for wastewater treatment systems

AI Communications - Binding Environmental Sciences and AI
Using case-based reasoning to overcome high computing cost interactive simulations

ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
An emergent approach for the control of wastewater treatment plants by means of reinforcement learning techniques

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article describes how a reasoner can improve its understanding of an incompletely understood domain through the application of what it already knows to novel problems in that domain. Case-based reasoning is the process of using past experiences ...