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中文摘要：
传统兵棋推演需要过多的人工干预，因此存在诸多主观干扰，并且很难实现全局实验。为解决上述问题，提出了基于兰彻斯特方程的微观兵棋推演模型，给出了该模型的主要系统结构、内部数据结构以及运行流程等。该模型采用消息驱动方式提高推演系统运行的全局性和时效性，并实现仿真对象的联动；用兰彻斯特模型生成描述敌我损耗关系，并生成微观战场态势。模型分析与实验结果表明，该算法具有较好的全局性和较高的处理速度。
英文摘要：
Due to overfull artificial intervention, traditional macroscopical war game models encounter subjective disorder and fragmentary simulation. In order to deal with it, a novel microcosmic model is proposed with Lanchester equation. And its model framework, interior data structures and working flows are described as following. Then message driven methods are used to introduce simulated ob- jects into combined operations and to implement system real-time. Furthermore, Lanchester equation is utilized to build the microcosmic states and loss ratio of both sides. Performance analysis and simulation results show that it has better system integrality and shorter re- sponse delays than the traditional ones.
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Novel Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problems in Packet Radio Netw
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