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Genetic Fuzzy Relational Neural Network for Infant Cry Classification

机译：遗传模糊关系神经网络用于婴儿哭泣分类。

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In this paper we describe a genetic fuzzy relational neural network (FRNN) designed for classification tasks. The genetic part of the proposed system determines the best configuration for the fuzzy relational neural network. Besides optimizing the parameters for the FRNN, the fuzzy membership functions are adjusted to fit the problem. The system is tested in several infant cry database reaching results up to 97.55%. The design and implementation process as well as some experiments along with their results are shown.

机译：在本文中，我们描述了一种用于分类任务的遗传模糊关系神经网络（FRNN）。拟议系统的遗传部分确定了模糊关系神经网络的最佳配置。除了优化FRNN的参数外，还调整了模糊隶属函数以适应问题。该系统在多个婴儿哭声数据库中进行了测试，结果高达97.55％。显示了设计和实现过程以及一些实验及其结果。

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来源
《Pattern recognition》|2011年|p.288-290|共3页
会议地点 Cancun(MX);Cancun(MX)
作者
Alejandro Rosales-Perez; Carlos A. Reyes-Garcia; Pilar Gomez-Gil;
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作者单位

National Institute of Astrophysics, Optics and Electronics (INAOE) Computer Science Department Luis E. Erro No.l Tonantzintla, Puebla, Mexico;

National Institute of Astrophysics, Optics and Electronics (INAOE) Computer Science Department Luis E. Erro No.l Tonantzintla, Puebla, Mexico;

National Institute of Astrophysics, Optics and Electronics (INAOE) Computer Science Department Luis E. Erro No.l Tonantzintla, Puebla, Mexico;

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原文格式 PDF
正文语种 eng
中图分类模式识别与装置;
关键词
fuzzy relational neural network; genetic algorithm; infant cry classification;

机译：模糊关系神经网络遗传算法婴儿哭泣分类;

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1. Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks [J] . M. Hariharan, J. Saraswathy, R. Sindhu, Expert Systems with Application . 2012,第10期

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2. Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network [J] . HariharanM., SindhuR., YaacobS. Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2012,第2期

机译：使用时频分析和广义回归神经网络对正常和听觉低下的婴儿啼哭信号进行分类
3. Fuzzy based genetic neural networks for the classification of murder cases using Trapezoidal and Lagrange Interpolation Membership Functions [J] . M. M. Janeela Theresa, V. Joseph Raj Applied Soft Computing . 2013,第1期

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4. Genetic Fuzzy Relational Neural Network for Infant Cry Classification [C] . Alejandro Rosales-Perez, Carlos A. Reyes-Garcia, Pilar Gomez-Gil Mexican Conference on Pattern Recognition . 2011

机译：婴儿哭泣分类的基因模糊关系神经网络
5. Enhancing pattern classification with relational fuzzy neural networks and square BK -products [D] . Davis, Warren L., IV. 2006

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6. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering [O] . Nikhil R Pal, Kripamoy Aguan, Animesh Sharma, 2007

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7. Neural Network Architecture That Combines Temporal and Summative Features for Infant Cry Classification in the Interspeech 2018 Computational Paralinguistics Challenge [O] . Mark Huckvale 2018

机译：神经网络架构将时间和总结特征结合在婴幼儿哭泣分类中的时间和总结特征在三角形2018年计算Paral语言学挑战中

Genetic Fuzzy Relational Neural Network for Infant Cry Classification

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