情绪分析是自然语言处理的一个分支(NLP)，旨在量化积极和消极感知力；类似于“音调”分析。

Sentiment analysis is a branch of natural language processing (NLP) that seeks to quantify positive vs negative perceptions; akin to "tone" analysis.

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针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。

For multilayer perceptron with single hidden layer, the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement.

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本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。

In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.

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本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。

In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.

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