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Artificial synapse component using multiple distinct learning means with distinct predetermined learning acquisition times
Artificial synapse component using multiple distinct learning means with distinct predetermined learning acquisition times
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机译：使用多种不同的学习方式和不同的预定学习获取时间的人工突触成分
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摘要
Neuron component and method for use in artificial neural networks (ANNs) with input synapses (204, 204b . . . 204n), each synapse includes multiple weights called synapse weights (206-1, 206-2, 206-3). Each synapse further includes a facility to modulate, or gate, an input signal connected to the synapses, by each of the respective synapse weights within the synapse, supplying the result of each modulating operation. The neuron also sums the results of all modulating operations, and subjects the results to a transfer function. Each of the multiple weights associated with a given synapse, may be specified to have its own weight-adjustment facility (214, 214b, 214c), with its own error-values (216, 216b, 216c), and its own specified learning and aspect (1000) includes a separate sum (1018, 1018b) and transfer function (1020, 1020b) for each synapse weight.
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机译：具有输入突触（ 204，204 b .. 204 n）的人工神经网络（ANN）中使用的神经元组件和方法），每个突触都包含多个权重，称为突触权重（ 206 - 1、206 - 2、206 - 3 ）。每个突触还包括用于通过突触内的各个突触权重中的每一个来调制或选通连接到突触的输入信号的设施，以提供每个调制操作的结果。神经元还对所有调制操作的结果求和，并使结果服从传递函数。可以将与给定突触相关的多个权重中的每个权重指定为具有自己的权重调整工具（ 214、214 b ，214 c ），具有自己的错误值（ 216、216 b ，216 c ），以及它自己指定的学习和方面（ 1000 ）包括单独的总和（ 1018、1018 b ）和传递函数（< B> 1020、1020 b ）。
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