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Artificial bee colony, genetic, back propagation and recurrent neural networks for developing intelligent system of turning process

机译：人工蜂殖民地，遗传，背部传播和经常性神经网络，用于开发智能系统的转向过程

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Arun Kumar Shettigar; G. C. Manjunath Patel; Ganesh R. Chate; Pandu R. Vundavilli; Mahesh B. Parappagoudar;
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1. Artificial bee colony, genetic, back propagation and recurrent neural networks for developing intelligent system of turning process [J] . Arun Kumar Shettigar, G. C. Manjunath Patel, Ganesh R. Chate, SN Applied Sciences . 2020,第4期

机译：人工蜂群，遗传，反向传播和递归神经网络，用于开发车削过程智能系统
2. Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm [J] . Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei-Chang Yeh Applied Soft Computing . 2011,第2期

机译：小波变换和递归神经网络预测股票市场：基于人工蜂群算法的集成系统
3. Modelling and control of six-phase induction motor servo-driven continuously variable transmission system using blend modified recurrent Gegenbauer orthogonal polynomial neural network control system and amended artificial bee colony optimization [J] . Lin Chih-Hong International journal of numerical modelling . 2016,第5期

机译：六相感应电动机伺服驱动的连续变速器使用混合改性复发性GEGENBAUER正交多项式神经网络控制系统的建模与控制，经修正的人工蜂殖民地优化
4. Blend recurrent Gegenbauer orthogonal polynomials neural network control of a SynRM servo-drive CVT system using amended artificial bee colony optimization [C] . Chih-Hong Lin, Hong-Yen Hsu 2016 International Conference on Applied System Innovation . 2016

机译：使用修正的人工蜂群优化对SynRM伺服驱动CVT系统的混合递归Gegenbauer正交多项式神经网络控制
5. Nonlinear system identification using a genetic algorithm and recurrent artificial neural networks. [D] . Zhu, Yuqing. 2006

机译：使用遗传算法和递归人工神经网络进行非线性系统识别。
6. Developing a Reading Concentration Monitoring System by Applying an Artificial Bee Colony Algorithm to E-Books in an Intelligent Classroom [O] . Chia-Cheng Hsu, Hsin-Chin Chen, Yen-Ning Su, 2012

机译：通过在智能教室中将人工蜂群算法应用于电子书来开发阅读浓度监控系统
7. Artificial Bee Colony Training of Neural Networks: Comparison with Back-Propagation [O] . John A. Bullinaria, Khulood Alyahya 2015

机译：神经网络的人工蜂群训练：与反向传播的比较
8. Hybrid Intelligent Perception System: Intelligent perception through combining Artificial Neural Networks and an Expert System. [R] . Glover, C. W., Spelt, P. F. 1990

机译：混合智能感知系统：人工神经网络与专家系统相结合的智能感知系统。

Artificial bee colony, genetic, back propagation and recurrent neural networks for developing intelligent system of turning process

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