基于模糊神经网络的反鱼雷深弹作战决策

Research on Anti-torpedo Depth Charge Operaction Deccision based on Fuzzy Artificial Neural Network

反鱼雷深弹武器是水面舰艇对抗鱼雷的一种新的反鱼雷武器,由它组成的鱼雷防御系统可以拦截潜艇发射的声自导鱼雷、线导鱼雷及尾流自导鱼雷。根据其作战使用特点,建立基于模糊神经网络的智能辅助决策系统,分析了其基本思想,具体实现过程,并应用实例加以验证。计算结果表明:该模糊神经网络模型具有一定的合理性和实用性。

The anti-torpedo depth charge weapon is a kind of lately surface ship anti-torpedo weapon. This toredo defense system can intercep acoustic homing torpedo, wire-guided torpedo and backwash homing torpedo. Based on its operational performance, This text builds up the intelligent assistant decision-making system which bases on fuzzy artificial neural netword, analyzes its basic thought and process ,then verifies it with example. The result proves that this fuzzy artificial neural network model is rationality and practicality.