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中文摘要：
由于灌区水量调度问题的复杂性和不确定性，单纯利用调度模型进行灌区水量调度在实际应用中往往存在一些问题．为了使理论研究尽可能与实际应用相结合，将人工智能中的基于事例推理（CBR）技术引入到灌区水量调度中，将以往的灌区水量调度事例作为历史事例以一定的结构和方式存储在事例库中，对于新的灌区水量调度问题，从事例库中寻找相似的事例，并根据其调度方案，确定新问题的解决方案．实际算例表明，对于灌区水量调度问题，基于事例推理的灌区水量调度能充分的将以往的调度经验结合起来，使得调度结果更合理、可行，具有较强的实用性．
英文摘要：
Considering the complexity and uncertainty of water dispatching of irrigation region, the water dispatching uniquely based on dispatching model has some problems in practice. In order to achieve the integration of theory research and application, this paper introduces the case-based reasoning technology of artificial intelligence into the water dispatching of irrigation region, which takes the former water dispatching cases as historical cases arranged in the reasonable structure and pattern, stored in the case library. Considering the new problems encountered in water dispatching,similar cases in case library are studied according to the dispatching scheme so as to establish the solution for these new problems. The numerical tests indicate that, for the problems in water dispatching of irrigation region, using the case-based reasoning technology can fully integrate the historical dispatching experience, and produce much more reasonable, feasible and practical dispatching result.
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