A modular artificial neural network system for the classification and selection of coatings for a chemical sensor array

G. Chu, ChengXin Cui, D. Stacey
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引用次数: 1

Abstract

An application in the area of chemical and biosensor design has provided the inspiration for research into some of the issues involved with the design and application of modular artificial neural networks (ANNs) for pattern classification tasks. We can divide the development of modular ANNs into two main components: (1) the topological design of the individual modular ANNs and the construction of the assembly of modules; and (2) the analysis of the data sets to be used to train the individual modules. The chemical sensor design task allows us to explore this second component to identify some of the implications for the capture and analysis of data appropriate for the training of modular ANN systems.<>
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一种用于化学传感器阵列涂层分类选择的模块化人工神经网络系统
在化学和生物传感器设计领域的应用,为模式分类任务中模块化人工神经网络(ANNs)的设计和应用所涉及的一些问题的研究提供了灵感。模块化人工神经网络的开发可以分为两个主要部分:(1)单个模块化人工神经网络的拓扑设计和模块组装的构建;(2)分析用于训练各个模块的数据集。化学传感器设计任务使我们能够探索第二个组成部分,以确定适合模块化人工神经网络系统训练的数据的捕获和分析的一些含义。
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