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    • 5. 发明授权
    • Information processing system using neural network learning function
    • 信息处理系统采用神经网络学习功能
    • US5295197A
    • 1994-03-15
    • US774887
    • 1991-10-11
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • G06K9/66G06K9/00
    • G06K9/66
    • An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
    • 在一个实施例中,使用神经网络学习功能的信息处理设备通过通信电缆彼此相关联的计算机系统和模式识别设备。 计算机系统包括具有第一神经网络的学习部分,并且用于通过经由通信电缆从模式识别装置向其提供的学习数据信号的学习来调整其中的连接的权重。 模式识别装置包括具有第二神经网络的关联输出部分,并且经由通信电缆接收来自学习部分的经调整的权重的数据,以利用调整后的权重的数据重构第二神经网络。 具有重建的第二神经网络的关联输出部分的模式识别装置在通信电缆进入电隔离模式的情况下,独立于计算机系统执行模式识别。
    • 6. 发明授权
    • Information processing system using neural network learning function
    • 信息处理系统采用神经网络学习功能
    • US5086479A
    • 1992-02-04
    • US544870
    • 1990-06-28
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • G06K9/66
    • G06K9/66
    • An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
    • 在一个实施例中,使用神经网络学习功能的信息处理设备通过通信电缆彼此相关联的计算机系统和模式识别设备。 计算机系统包括具有第一神经网络的学习部分,并且用于通过经由通信电缆从模式识别装置向其提供的学习数据信号的学习来调整其中的连接的权重。 模式识别装置包括具有第二神经网络的关联输出部分,并且经由通信电缆接收来自学习部分的经调整的权重的数据,以利用调整后的权重的数据重构第二神经网络。 具有重建的第二神经网络的关联输出部分的模式识别装置在通信电缆进入电隔离模式的情况下,独立于计算机系统执行模式识别。