【摘要】 针对目前火灾报警系统灵敏度低、可靠性差等不足,提出和设计了基于概率神经网络(PNN)的分布智能型火灾报警系统。概率神经网络具有训练速度快,结构简单,非线性处理和抗干扰能力强等特点,可以提高火灾报警的灵敏度和可靠性。更多还原

【Abstract】 An distributed intelligent fire alarm system based on probabilistic neural network(PNN) was put forth and designed in order to avoid the low sensitivity and bad reliability of present fire alarm system.PNN has the characteristics of quick training speed,simple structure,non-linear disposal and strong ability of anti-interference.Because of adopting PNN,the sensitivity and reliability of fire alarm system were improved.更多还原