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The agile improvement of MMORPGs based on the enhanced chaotic neural network

机译:基于增强型混沌神经网络的MMORPG的敏捷改进

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摘要

Massive multiplayer online role playing games (MMORPGs) should be continuously and incrementally modified to meet with the customers' increasing demand. However, that is a tough task since the number of customers is huge and all of the customers are geographically dispersed. Therefore, this paper presents an agile improvement system by using the action diagram and the enhanced chaotic neural network (ECNN) model, combining the merits of chaotic neural network, fuzzy analytic hierarchy process (AHP), and genetic algorithm in one consolidated model. It is expected that the proposed method will overcome most of the disadvantages of published models, particularly the accuracy of customer satisfaction model and the validity of modification decision. Also, it gives a chance to meet the demands of customers at an optimal cost and make the hard but necessary improvement decisions whenever they are required.
机译:大型多人在线角色扮演游戏(MMORPG)应该不断进行改进,以满足客户不断增长的需求。但是,这是一项艰巨的任务,因为客户数量巨大,而且所有客户都在地理位置上分散。因此,本文采用动作图和增强型混沌神经网络(ECNN)模型,结合混沌神经网络,模糊层次分析法和遗传算法的优点,提出了一种敏捷改进系统。预期该方法将克服已发布模型的大多数缺点,特别是客户满意度模型的准确性和修改决策的有效性。而且,它有机会以最佳成本满足客户的需求,并在需要时做出艰难而必要的改进决策。

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