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现代非触发水雷利用舰船的分类系统(SCS)通过分析物理场特性来区分目标和非目标。与使用判定方法的经典的水雷模拟不同,文中描述了一种由北约组织水下研究中心开发的随机水雷模型。该模型被称为先进的模糊逻辑水雷仿真器(FLAME),是一种采用模糊逻辑方法的通用水雷模型。此种模型的重要优点之一是可重复训练,并可模拟现代水雷,甚至未来水雷威胁。在试验部分,说明了模型的另一个优点;先进的模糊逻辑水雷仿真器(FLAME)具有识别对特定目标提供最大鉴别水平的物理场特性的能力。更确切地说,这可为反水雷部队、布雷舰和舰船设计者提供有价值的信息。在试验部分,还说明了先进的模糊逻辑水雷仿真器(FLAME)学习区分2种舰艇的物理场特性的能力。同时还说明了先进的模糊逻辑水雷仿真器(FLAME)的输出统计如何详细洞察这2种舰艇的最特殊的物理场特性。
Modern non-triggered mines make use of the Ship’s Classification System (SCS) to distinguish between targets and non-targets by analyzing the properties of the physics. In contrast to classical mine simulation using decision methods, a stochastic mine model developed by the NATO Underwater Research Center is described. Known as the advanced Fuzzy Logic Mine Simulator (FLAME), the model is a generalized mine model using fuzzy logic. One of the important advantages of such a model is its ability to be re-trained and to simulate the threat of modern mines and even future mines. In the experimental section, another advantage of the model is demonstrated; the advanced Fuzzy Logic Mine Simulator (FLAME) has the ability to identify the characteristics of the physics that provide the maximum level of discrimination for a particular target. More precisely, this can provide valuable information to anti-mine forces, mine-raiders and ship designers. In the experimental part, the advanced fuzzy logic mine simulator (FLAME) is also illustrated to learn the ability to distinguish between the physical properties of two types of ships. It also shows how the output statistics of the advanced Fuzzy Logic Mine Simulator (FLAME) give a detailed insight into the most specific physical properties of these two types of ships.