Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru ma?īna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона

Yevgeniy Bodyanskiy; Olena Vynokurova; Oleksandra Kharchenko

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Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru ma?īna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона

机译：基于小波神经元/ Uz小波的最小二乘支持向量机基于小波神经元的最小二乘支持向量机

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In this paper, a simple wavelet-neuro-system that implements learning ideas based on minimization of empirical risk and oriented on information processing in on-line mode is developed. As an elementary block of such systems, we propose using wavelet-neuron that has improved approximation properties, computational simplicity, high learning rate and capability of local feature identification in data processing. The architecture and learning algorithm for least squares wavelet support machines that are characterized by high speed of operation and possibility of learning under conditions of short training set are proposed.

机译：在本文中，开发了一个简单的小波神经系统，该系统实现了基于最小化经验风险并以在线模式进行信息处理为目标的学习思想。作为此类系统的基本模块，我们建议使用小波神经元，它具有改进的近似特性，计算简单性，高学习率以及数据处理中的局部特征识别能力。提出了一种在训练集短的条件下，具有运算速度快，具有学习速度快的特征的最小二乘小波支持机的结构和学习算法。

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《Information Technology and Management Science》 |2015年第1期|共6页
作者
Yevgeniy Bodyanskiy; Olena Vynokurova; Oleksandra Kharchenko;
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中图分类管理学;
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1. Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru ma?īna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона [J] . Yevgeniy Bodyanskiy, Olena Vynokurova, Oleksandra Kharchenko Information Technology and Management Science . 2014,第1期

机译：基于小波神经元/ Uz小波的最小二乘支持向量机基于小波神经元的最小二乘支持向量机
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Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru ma?īna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона

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