Smart City Gnosys

Smart city article details

Title	Fuzzy Neuro Approach To Water Management Systems
ID_Doc	27604
Authors	Kambli A.; Modi S.
Year	2019
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3310986.3311026
Abstract	This paper addresses the need for intelligent water management and distribution system in smart cities to ensure optimal consumption and distribution of water for drinking and sanitation purposes using two mostly widely used particular types of data driven models, namely recurrent neural networks (RNN) and fuzzy logic-based models.. The objective of this paper is to review the principles of various types and architectures of neural network and fuzzy adaptive systems and their applications to integrated water resources management. Final goal of the review is to expose and formulate progressive direction of their applicability and further research of the AI-related and data-driven techniques application and to demonstrate applicability of the neural networks, fuzzy systems and other machine learning techniques in the practical issues of the regional water management. Apart from this the paper will deal with water storage, using RNN to find optimum reservoir level and predicting peak daily demands. © 2019 Association for Computing Machinery.
Author Keywords	Fuzzy systems; Neural networks; Peak daily demand prediction; Water management and distribution

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