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Particle Swarm Optimization over Back Propagation Neural Network for Length of Stay Prediction

机译：BP神经网络的粒子群优化算法在停留时间预测中的应用

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Suresh Abhijit; Harish K.V.; Radhika N.;
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1. Particle Swarm Optimization over Back Propagation Neural Network for Length of Stay Prediction [J] . Abhijit Suresh, K.V. Harish, N. Radhika Procedia Computer Science . 2015,第1期

机译：BP神经网络的粒子群优化算法在停留时间预测中的应用
2. Carbon Emissions Scenario Prediction of the Thermal Power Industry in the Beijing-Tianjin-Hebei Region Based on a Back Propagation Neural Network Optimized by an Improved Particle Swarm Optimization Algorithm [J] . Zhou Jianguo, Du Shijuan, Shi Jianfeng, Polish Journal of Environmental Studies . 2017,第4期

机译：基于改进粒子群算法的BP神经网络在京津冀地区火电行业碳排放情景预测
3. Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural network in engineering systems [J] . Bai Bin, Zhang Junyi, Wu Xuan, Expert systems with applications . 2021,第Sepa期

机译：基于可靠性预测的改进的动态重量粒子群优化和后传播神经网络在工程系统中
4. Respiratory Signals Prediction based on Particle Swarm Optimization and Back Propagation Neural Networks [C] . Panchun Chang, Jimin Yang, Juan Yang, International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation . 2017

机译：基于粒子群优化和反向传播神经网络的呼吸信号预测
5. Dynamic Spectrum Access Utilizing Neural Networks and Particle Swarm Optimization in Cognitive Radios [D] . Arbona, Carolina 2018

机译：利用神经网络的动态频谱访问和认知无线电中的粒子群优化
6. Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization [O] . Daizheng Huang, Zhihui Wu -1

机译：使用经验模式分解结合通过粒子群算法优化的反向传播人工神经网络预测门诊人次
7. Carbon Emissions Scenario Prediction of the Thermal Power Industry in the Beijing-Tianjin-Hebei Region Based on a Back Propagation Neural Network Optimized by an Improved Particle Swarm Optimization Algorithm [O] . Jianguo Zhou, Shijuan Du, Jianfeng Shi, 2017

机译：基于改进粒子群优化算法优化的后传播神经网络，北京天津 - 河北地区火电厂碳排放场景预测

Particle Swarm Optimization over Back Propagation Neural Network for Length of Stay Prediction

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