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    • 4. 发明授权
    • Integrated circuit oscillator
    • 集成电路振荡器
    • US4652837A
    • 1987-03-24
    • US798268
    • 1985-11-15
    • Sebastiano D'ArrigoGiuliano ImondiSossio Vergara
    • Sebastiano D'ArrigoGiuliano ImondiSossio Vergara
    • H03K3/0231H03K5/15H03K3/02
    • H03K3/0231H03K5/1506
    • An oscillator for an integrated circuit which includes a Schmitt trigger having an upper threshold voltage V.sub.H and a lower threshold voltage V.sub.L, a capacitor coupled between an input to the trigger and ground, a current generator coupled to the trigger input for charging the capacitor at a constant rate and a current generator coupled to the trigger input for discharging the capacitor at a constant rate. A charge switch in series with the charging current generator reversibly couples the charging current generator between a source of high voltage and the trigger input in response to a change in state of the trigger from a first state to a second state. A discharge switch in series with the discharging current generator reversibly couples the latter across the capacitor in response to a change in state of the trigger from the second state to the first state.
    • 一种用于集成电路的振荡器,其包括具有上阈值电压VH和较低阈值电压VL的施密特触发器,耦合到触发器和地之间的电容器,耦合到触发输入端的电流发生器,用于在电容器 恒定速率和耦合到触发输入的电流发生器,以恒定速率放电电容器。 与充电电流发生器串联的充电开关响应于触发器的状态从第一状态到第二状态而将充电电流发生器可逆地耦合在高电压源和触发输入之间。 与放电电流发生器串联的放电开关响应于触发器的状态从第二状态到第一状态而将电容器可逆地耦合到电容器两端。
    • 10. 发明授权
    • Data processing system for implementing architecture of neural network
subject to learning process
    • 用于实现学习过程中神经网络架构的数据处理系统
    • US5299286A
    • 1994-03-29
    • US828077
    • 1992-01-30
    • Giuliano ImondiGiulio MarottaGiulio PorrovecchioGiuseppe SavareseLuciano Talamonti
    • Giuliano ImondiGiulio MarottaGiulio PorrovecchioGiuseppe SavareseLuciano Talamonti
    • G06N3/063G06F15/40
    • G06N3/063
    • Data processing system implementing architecture of a neural network which is subject to a learning process, wherein the data processing system includes n.times.n synapses arranged in an array of j rows and i columns. A plurality of operational amplifiers respectively corresponding to the rows of the array are provided, with each operational amplifier defining a neuron. The input terminals of all of the synapses arranged in a respective column of the array are connected together and define n inputs of the neural network. The output terminals of the synapses arranged in a respective row of the array are connected together and serve as the inputs to a corresponding one of the plurality of operational amplifiers. Each synapse includes a capacitor connected between ground potential and the input terminal for weighting the synapse by storing a weighting voltage applied thereto. A random access memory has digitally stored voltage values for weighting all of the synapses. A plurality of digital-analog converters, one for each column of the array of synapses, are connected to the random access memory for converting the digital voltage values for weighting the synapses into analog voltage values. The digital-analog converters provide respective outputs to the weighting terminals of the synapses of a column via respective electronic switches for each synapse. Each row of the array includes a bistable circuit for driving the respective electronic switches under the control of a control section which also provides function commands and data to the random access memory.
    • 实施受学习过程的神经网络的架构的数据处理系统,其中所述数据处理系统包括以j行和i列的阵列排列的n * n个突触。 分别对应于阵列行的多个运算放大器,每个运算放大器定义一个神经元。 布置在阵列的相应列中的所有突触的输入端子连接在一起并定义神经网络的n个输入。 布置在阵列的相应行中的突触的输出端子连接在一起,并用作对多个运算放大器中的相应一个的输入。 每个突触包括连接在地电位和输入端之间的电容器,用于通过存储施加于其上的加权电压来加权突触。 随机存取存储器具有用于加权所有突触的数字存储的电压值。 多个数字 - 模拟转换器(每个突触阵列中的一列)连接到随机存取存储器,用于将用于加权突触的数字电压值转换为模拟电压值。 数字 - 模拟转换器通过用于每个突触的各个电子开关向列的突触的加权终端提供相应的输出。 该阵列的每行包括用于在控制部分的控制下驱动各个电子开关的双稳态电路,控制部分还向随机存取存储器提供功能命令和数据。