【摘要】 针对火灾探测的特点,提出了一种处理火灾探测信号的智能算法,将模糊系统和神经网络有机结合,实现模糊系统设计参数的自动调整。依据模糊神经网络算法的要求,完成了网络结构的设计,并给出了相应的计算模型,用改进的BP算法对网络进行学习和训练。将该算法应用于火灾探测中能够减少火灾的误报率,最后,根据国家标准试验火数据进行网络测试,仿真结果表明了算法的有效性和可行性。更多还原

【Abstract】 An intelligent algorithm for processing fire detection signal is proposed aiming at the characteristic of fire detection.The automatic adjusting of design parameter in fuzzy system is realized by integrating fuzzy system and neural network.Accordiny to the request of fuzzy neural network algorithm,the design of network configuration is accomplished and calculating model correspondingly is given,then using reformative BP algorithm completes the network learning and training.The algorithm can reduces the rate of false alarm in fire detection.Finally the network testing is proceeded according to national standard test fire data,and the emulate result shows the algorithm is the validity and feasibility.更多还原