公开(公告)号：EP0322071A2

公开(公告)日：1989-06-28

申请号：EP88202959.8

申请日：1988-12-19

申请人： Philips Electronics N.V.

发明人： Lish, Charles Andrew

IPC分类号： G06F15/06

CPC分类号： G06N3/063 ,  G06N3/0635

摘要： An analog neural network composed of an array of capacitors (C1j, C2j...Cnj) for storing weighted electric charges. Electric charges, or voltages, on the capacitors control the impedance (resistance) values of a corresponding plurality of MOSFETs (28, 29...30) which selectively couple input signals to one input of a summing amplifier (31). A plurality of semiconductor gating elements (e.g. MOSFETs) (25, 26..27) selectively couple to the capacitor's weighted analog voltage values received sequentially over an input line (18). The weighted voltages on the input line are periodically applied to the proper capacitors in the neural network via the gating elements so as to refresh the weighted electric charges on the capacitors, and at a multiplex rate that maintains the voltages on the capacitors within acceptable tolerance levels.

摘要翻译： 由用于存储加权电荷的电容器组（C1j，C2j ... Cnj）组成的模拟神经网络。 电容器上的电荷或电压控制将输入信号选择性地耦合到加法放大器（31）的一个输入端的相应多个MOSFET（28,29 ... 30）的阻抗（电阻）值。 多个半导体门控元件（例如MOSFET）（25,26..27）选择性地耦合到在输入线（18）上顺序接收的电容器加权的模拟电压值。 通过门控元件将输入线上的加权电压周期性地施加到神经网络中的适当的电容器，以便刷新电容器上的加权电荷，并且以使电容器上的电压保持在可接受的公差电平内的多路复用速率 。

公开(公告)号：EP0322071A3

公开(公告)日：1990-03-14

申请号：EP88202959.8

申请日：1988-12-19

申请人： Philips Electronics N.V.

发明人： Lish, Charles Andrew

IPC分类号： G06F15/06

CPC分类号： G06N3/063 ,  G06N3/0635

摘要： An analog neural network composed of an array of capacitors (C1j, C2j...Cnj) for storing weighted electric charges. Electric charges, or voltages, on the capacitors control the impedance (resistance) values of a corresponding plurality of MOSFETs (28, 29...30) which selectively couple input signals to one input of a summing amplifier (31). A plurality of semiconductor gating elements (e.g. MOSFETs) (25, 26..27) selectively couple to the capacitor's weighted analog voltage values received sequentially over an input line (18). The weighted voltages on the input line are periodically applied to the proper capacitors in the neural network via the gating elements so as to refresh the weighted electric charges on the capacitors, and at a multiplex rate that maintains the voltages on the capacitors within acceptable tolerance levels.

摘要翻译： 由用于存储加权电荷的电容器组（C1j，C2j ... Cnj）组成的模拟神经网络。 电容器上的电荷或电压控制将输入信号选择性地耦合到加法放大器（31）的一个输入端的相应多个MOSFET（28,29 ... 30）的阻抗（电阻）值。 多个半导体门控元件（例如MOSFET）（25,26..27）选择性地耦合到在输入线（18）上顺序接收的电容器加权的模拟电压值。 通过门控元件将输入线上的加权电压周期性地施加到神经网络中的适当的电容器，以便刷新电容器上的加权电荷，并且以使电容器上的电压保持在可接受的公差电平内的多路复用速率 。