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Updated: Jul 15, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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使用不同类型的人工神经网络来分类二维矩阵代码及其旋转 - - 一项比较研究

Ladislav Karrach1, Elena Pivarčiová1

  • 1Department of Manufacturing and Automation Technology, Faculty of Technology, Technical University in Zvolen, Masarykova 24, 960 01 Zvolen, Slovakia.

Journal of imaging
|September 27, 2023
PubMed
概括

卷积神经网络 (CNN) 擅长对二维矩阵代码进行分类,其性能优于多层感知子和辐射基函数网络. 本研究将四个人工神经网络进行比较,以实现强大的代码识别.

关键词:
2D矩阵代码是2D矩阵代码.这是分类分类的分类.卷积神经网络是一种卷积神经网络.多层感知器多层感知器一个概率神经网络.辐射基础功能神经网络神经网络

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