Search Results - "Back-propagation artificial neural networks"

A prediction model for moderate to severe pain in primary hepatic carcinoma after chemotherapy: a multi-center prospective case‒control study

Siting Huang, Aiqin Liu, Xiaoruo Yu, Zhifeng Qiu, Guizhen Weng, Dun Liu, Yan Wang, Yan Zhuo, Liuqing Yao, Mei Yang, Hui Lin, Xi Ke

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Vaporization enthalpy prediction of ionic liquids based on back-propagation artificial neural network

Ji, Changzheng, Shi, Zhaochong, Zheng, Yichao, Wang, Weike, Shi, Jialin ^⁎, Peng, Changjun ^⁎⁎, Liu, Honglai

A novel nonintrusive fault identification for power transmission networks using power-spectrum-based hyperbolic S-transform — Part I: Fault classification

Chang, Hsueh-Hsien, Linh, Nguyen Viet, Lee, Wei-Jen

2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)

Hybrid Classification Approach Using Self-Organizing Map and Back Propagation Artificial Neural Networks for Intrusion Detection

AlHamouz, Sadeq, Abu-Shareha, Ahmad

2017 10th International Conference on Developments in eSystems Engineering (DeSE)

Virtual speed sensor for DC motor using back-propagation artificial neural networks

Montesdeoca-Contreras, J. C., Zambrano-Abad, J. C., Morales-Garcia, J. A., Avila-Campoverde, R. S.

2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

A prediction model for moderate to severe cancer-related fatigue in colorectal cancer after chemotherapy: a prospective case‒control study

Huang, Si-Ting, Ke, Xi, Huang, Yun-Peng, Wu, Yu-Xuan, Yu, Xin-Yuan, Liu, He-Kun, Liu, Dun^{Aff1, IDs00520023078923_cor7}

A Novel Nonintrusive Fault Identification for Power Transmission Networks Using Power-Spectrum-Based Hyperbolic S-Transform—Part I: Fault Classification

Chang, H., Linh, N.V., Lee, W.

Diagnosis of Lung Cancer Disease Based on Back-Propagation Artificial Neural Network Algorithm

Hanan Akkar, Suhad Qasim Haddad

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Risk factors and the utility of three different kinds of prediction models for postoperative fatigue after gastrointestinal tumor surgery

Xu, Xin-Yi, Lu, Jin-Ling, Xu, Qin^Aff1, Hua, Hong-Xia, Xu, Le, Chen, Li

Comparative study of back propagation artificial neural networks and logistic regression model in predicting poor prognosis after acute ischemic stroke

Liang, Yaru^{j_med-2019-0030_aff_002}, Li, Qiguang^{j_med-2019-0030_aff_002}, Chen, Peisong^{j_med-2019-0030_aff_002}, Xu, Lingqing^{j_med-2019-0030_aff_002}, Li, Jiehua^{j_med-2019-0030_aff_001}

Preparation of ZrB2-SiC Powders via Carbothermal Reduction of Zircon and Prediction of Product Composition by Back-Propagation Artificial Neural Network

Liu, Jianghao^Aff1, Du, Shuang, Li, Faliang, Zhang, Haijun^Aff1, Zhang, Shaowei^Aff3

Application of artificial neural networks to height transformation

Mustafa Yilmaz, Bayram Turgut, Mevlut Gullu, Ibrahim Yilmaz

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Cerebellar Model Articulation Controller Applied in Short-Term Wind Power Prediction

Shao, Yichuan^Aff1, Yao, Xingjia^Aff2

Jin, David, editor^AffID1, Lin, Sally, editor^AffID2

Application of Visible and Near Infrared Spectroscopy for Rapid Analysis of Chrysin and Galangin in Chinese Propolis

Yong He, Zhengyan Xia, Da-Wen Sun, Pengcheng Nie

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Experimental investigations and modeling of drill bit-guided abrasive flow finishing (DBG-AFF) process

Sankar, Mamilla Ravi, Mondal, S., Ramkumar, J., Jain, V. K.

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