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Liu Hongbo

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School of Environmental Science and Engineering

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Associate professor

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Party Secretary

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Selected Papers

Current position: Personal Profile > Academic Achievements > Selected Papers

Forecast Method of City Water Consumption Per Hour Based on Artificial Fish-Swarm Neural Network

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Affiliation of Author(s):School of Envionment Science and Engineering, Tianjin University

Journal:ournal of Tianjin University(Science and Technology)

Key Words:city water consumption;artificial fish-swarm algorithm;waterconsumption forecast

Abstract:Using the advantages of simple and fast of artificial fish-swarm intelligence algorithm, a short-term water quantity prediction method of artificial fish-swarm neural network is proposed. The mean square error is reduced by 5% compared with BP method.

All the Authors:Liu Hongbo, Zheng Boyi, Jiang Boling

First Author:Liu Hongbo

Correspondence Author:Liu Hongbo

Volume:48

Issue:4

Page Number:373-378

Translation or Not:no

CN No.:null

Pre One:Design of Adaptive Neuro-Fuzzy Inference System of Municipal Supply Water Networks Based on Fuzzy Clustering Theory

Next One:Short-term load forecasting technique for municipal supply water consumption based on fuzzy clustering theory

Address: No. 92, Weijin Road, Nankai District, Tianjin Zip Code: 300072

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