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Copyright of Journal of Heilongjiang University of Science & Technology is the property of Journal of Heilongjiang University of Science & Technology Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to predict the total amount of city tap water supply accurately, a predicting method of the extreme learning machine (ELM) optimized by teachinglearning-based optimization was proposed. An improved TLBO algorithm (ITLBO) was proposed to solve the problem of low convergence accuracy and easy to fall into local optimization. In ITLBO, an extra tutoring stage was added for the worst student, and the teacher could help the student individually or adopt the opposition-based learning strategy to quickly improve the student's performance. On this basis, a disturbance operator was used to perturb the teacher position, which increased the kinetic energy of the population to jump out of the local optimum. Finally, the improved ITLBO algorithm was used to optimize and adjust the input weight and hidden threshold parameters of ELM model, and the ITLBO-ELM water supply prediction model was built. ITLBO-ELM model was used to predict the tap water supply in Shanghai. The simulation results show that the model can accurately predict the tap water supply total amount. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of China University of Petroleum is the property of China University of Petroleum and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)