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Izhikevich Model Based Pattern Classifier for Hand Written Character Recognition -- A Review Analysis

机译:基于Izhikevich模型的手写字符识别模式分类器-评析。

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摘要

Pattern recognition is related with automatic detection or classification of an object. It find application in various fields such as automated analysis of medical image of blood contents, identification of humans from figure prints, hand writing recognition etc. In this paper we will analyse Izhikevich neuron model used for recognizing pattern and we also compare Izhikevich neuron model and Leaky integrate and fire neuron model which belongs to category of spiking neural network.
机译:模式识别与对象的自动检测或分类有关。它在各个领域都有广泛的应用,例如对血液内容的医学图像进行自动分析,从图形打印中进行人体识别,手写识别等。在本文中,我们将分析用于识别模式的艾奇科维奇神经元模型,并将艾奇科维奇神经元模型与泄漏积分并触发神经元模型,属于尖峰神经网络类别。

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