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    • 3. 发明授权
    • Graph displaying method and apparatus and processing operation
monitoring apparatus
    • 图形显示方法及装置及处理运行监视装置
    • US5999162A
    • 1999-12-07
    • US530030
    • 1990-05-29
    • Shuichi TakahashiHiroshi KuwaharaHitoshi YoshinoKeiji Oshima
    • Shuichi TakahashiHiroshi KuwaharaHitoshi YoshinoKeiji Oshima
    • G09G5/36G01D7/00G09G1/16G09G5/38
    • G09G1/162
    • In a graph displaying method and apparatus and a processing operation monitoring apparatus, a succession of graph points representing the progress of a process are sequentially displayed from one side to the other on the graph display area of a screen, one added at a time to the leading end of the graph. When the latest graph point arrives at the right end of the graph display area, the graph is shifted back leftwardly to a predetermined position at a speed that can be followed by the operator's eyes, whereupon an additional succession of graph points are sequentially displayed at the leading end of the graph. While the graph is being shifted from the right end of the graph display area to the predetermined position, a plurality of transient graphs is successively displayed from the start position of the movement to the terminating position, thus maintaining continuity of the displaying graph so that the operator can monitor the progress of the process without interruption and/or misrecognition.
    • 在图形显示方法和装置以及处理操作监视装置中,在屏幕的图形显示区域上,从一侧到另一侧依次显示表示处理进程的一系列图形点,一次添加到 图的前端。 当最新图形点到达图形显示区域的右端时,该曲线图以可操作者的眼睛可以跟随的速度向左移动到预定位置,于是在图形点附近依次显示附加的连续的图形点 图的前端。 当图形从图形显示区域的右端移动到预定位置时,从运动的开始位置到结束位置依次显示多个瞬时图形,从而保持显示图形的连续性,使得 操作员可以监视进程的进度,而不会中断和/或误认。
    • 4. 发明授权
    • Neural network system adapted for non-linear processing
    • 适用于非线性处理的神经网络系统
    • US5402519A
    • 1995-03-28
    • US797534
    • 1991-11-25
    • Haruki InoueKenichi NakamuraKeiji OshimaMasakazu YahiroMinoru KoideNoboru Abe
    • Haruki InoueKenichi NakamuraKeiji OshimaMasakazu YahiroMinoru KoideNoboru Abe
    • G06N3/04G06N3/08G06N7/04G06F15/18G06F9/44
    • G06N3/08G06N3/0436G06N7/046Y10S706/90
    • A neural network system includes a qualitative evaluation section, a neural network section, a quantifying section and a display section. The qualitative evaluation section qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section having a neural network with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section. Each neuron is connected to plural other neurons through synapses, each of which is assigned an individual weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.
    • 神经网络系统包括定性评估部分,神经网络部分,量化部分和显示部分。 定性评估部分定性分析提供给它的未知数据,并将分析结果归一化在预定范围内。 具有具有多个神经元的神经网络的神经网络部分从由定性评估部分生成的归一化未知数据计算网络输出数据。 每个神经元通过突触连接到多个其他神经元,每个神经元被分配一个单独的权重系数。 每个神经元适于输出与其相关联的输出函数值,该输出函数值与从其连接的神经元的输出的乘积和突触加权系数的总和相关联。 量化部分量化网络输出数据以产生所需数据。 由此产生的期望数据显示在显示部分上。