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混合BP神经网络在城市污水量预报中的应用 被引量:1

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摘要 对城市污水处理厂污水量的科学预测是污水处理机组协调和优化调度的基础和关键。针对传统BP神经网络在污水处理厂污水量的预测中存在收敛速度慢、预报精度低等缺陷。本文提出采用改进的粒子群优化算法优化BP神经网络的连接权值,以提高污水量预报的速度和精度。实验结果表明了该混合BP神经网络在城市污水量预报中的有效性和精确性,实现了污水处理厂各机组的优化运行和节能降耗。
作者 董淑福
出处 《城镇供水》 2013年第4期51-54,共4页 CITY AND TOWN WATER SUPPLY
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  • 1贺丽媛,夏军,张利平.水资源需求预测的研究现状及发展趋势[J].长江科学院院报,2007,24(1):61-64. 被引量:51
  • 2Garey M R, Johnson D S, Sethy R. The complexity of flow shop and job shop scheduling. Mathematics of Operations Research, 1976, 1(2): 117-129.
  • 3Dimopoulos C, Zalza A M S. Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and computations. IEEE Transactions on Evolutionary Computation, 2000, 4(2): 93-113.
  • 4Valente J M S, Alves R A F S. An exact approach to early/tardy scheduling with release dates. Computers and Operations Research, 2005, 32(11): 2905-2917.
  • 5Yang Q Y, Sun J G, Zhang J Y, Wang C J. A hybrid discrete particle swarm algorithm for open-shop problems. In:Proceedings of the 6th International Conference on Simulated Evolution and Learning. Hefei, China: Springer, 2006. 158-165.
  • 6He S, Wu Q H, Wen J Y, Saunders J R, Paton R C. A particle swarm optimizer with passive congregation. Biosystems. 2004, 78(1-3): 135-147.
  • 7Kao Y T, Zahara E, Kao I W. A hybridized approach to data clustering. Expert Systems with Applications: An International Journal, 2008, 34(3): 1754-1762.
  • 8Rameshkumar K, Suresh R K, Mohanasundaram K M. Discrete particle swarm optimization algorithm for permutation flowshop scheduling to minimize makspan. In: Proceedings of International Conference on Advances in Natural Computation. Changsha, China: Springer, 2005. 572-581.
  • 9Lian Z G, Gu X S, Jiao B. A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan. Applied Mathematics and Computation, 2006, 175(1): 773-785.
  • 10Nearchou A C. The effect of various operators on the genetic search for large scheduling problems. International Journal of Production Economics, 2004, 88(2): 191-203.

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