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    • 1. 发明授权
    • Control system for electric arc furnace
    • 电弧炉控制系统
    • US5406581A
    • 1995-04-11
    • US30599
    • 1993-03-11
    • William E. StaibRobert B. Staib
    • William E. StaibRobert B. Staib
    • H05B7/148
    • H05B7/148Y02P10/256Y02P10/259Y10S706/906
    • An improved arc furnace regulator employs neural circuits connected in a multi-layer network configuration with various weighted relationships between the successive layers which are automatically changed over time as a function of an error signal by means of the back-propagation method so that the regulator gradually improves its control algorithm as a result of accumulated experience. The network is implemented in software which can be developed and run on a PC with extra co-computing capability for greater execution speed. A second trainable neural network which emulates the arc furnace is used to develop the error signal, and is trained in mutually exclusive time periods with the training of the regular network.
    • 改进的电弧炉调节器使用以多层网络配置连接的神经电路,其中连续层之间的各种加权关系,随着时间的推移,随着反向传播方式随着误差信号的变化而自动改变,使得调节器逐渐 由于积累的经验,改进了其控制算法。 该网络以可以在具有额外协同计算能力的PC上开发和运行的软件来实现,以实现更高的执行速度。 模拟电弧炉的第二个可训练神经网络用于开发误差信号,并且在相互排斥的时间段内训练常规网络。
    • 2. 发明授权
    • Control system for electric arc furnace
    • 电弧炉控制系统
    • US5204872A
    • 1993-04-20
    • US685629
    • 1991-04-15
    • William E. StaibRobert B. Staib
    • William E. StaibRobert B. Staib
    • H05B7/148
    • H05B7/148Y02P10/256Y02P10/259Y10S706/906
    • An improved arc furnace regulator employs neural circuits connected in a multi-layer network configuration with various weighted relationships between the successive layers which are automatically changed over time as a function of an error signal by means of the back-propagation method so that the regulator gradually improves its control algorithm as a result of accumulated experience. The network is implemented in software which can be developed and run on a PC with extra co-computing capability for greater execution speed. A second trainable neural network which emulates the arc furnace is used to develop the error signal, and is trained in mutually exclusive time periods with the training of the regular network.
    • 改进的电弧炉调节器使用以多层网络配置连接的神经电路,其中连续层之间的各种加权关系,随着时间的推移,随着反向传播方式随着误差信号的变化而自动改变,使得调节器逐渐 由于积累的经验,改进了其控制算法。 该网络以可以在具有额外协同计算能力的PC上开发和运行的软件来实现,以实现更高的执行速度。 模拟电弧炉的第二个可训练神经网络用于开发误差信号,并且在相互排斥的时间段内训练常规网络。