首页> 外文会议>Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of >Modelling of biological neurons by artificial neural networks
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Modelling of biological neurons by artificial neural networks

机译:通过人工神经网络对生物神经元建模

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摘要

A general approach for modeling biological neurons by means of ANNs is presented. This approach does not require any a-priori information about the system dynamics. A close-loop neural network architecture based on a multilayer feed forward network, is used as an alternative approach to standard system identification. The model can be employed to simulate the behavior of complex networks.
机译:提出了一种通过人工神经网络对生物神经元建模的通用方法。此方法不需要有关系统动态的任何先验信息。基于多层前馈网络的闭环神经网络架构被用作标准系统识别的替代方法。该模型可用于模拟复杂网络的行为。

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