Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review by Vladimir Bukhtoyarov, Vadim Tynchenko, Kirill Bashmur, Oleg Kolenchukov, Vladislav Kukartsev, Ivan Malashin

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Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota by Yawei Qi, Wenxiang Peng, Ran Yan, Guangping Rao

“…In the present research, we used historical quota data of China’s carbon emission trading policy pilot areas from 2014 to 2017 to identify alternative features of corporate CO2 emissions and build a backpropagation neural network model (BP) to train the benchmark model. …”
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Modeling the effect of extrusion parameters on density of biomass pellet using artificial neural network by Abedin Zafari, Mohammad Hossein Kianmehr, Rahman Abdolahzadeh

Subjects: “…Density. Artificial neural network, , , , , , , , , ,…”
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Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete by Sangyong Kim, Hee-Bok Choi, Yoonseok Shin, Gwang-Hee Kim, Deok-Seok Seo

“…This research aims to optimize the mixing proportion of recycled aggregate concrete (RAC) using neural networks (NNs) based on genetic algorithms (GAs) for increasing the use of recycled aggregate (RA). …”
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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

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Weighted Multiple-Model Neural Network Adaptive Control for Robotic Manipulators with Jumping Parameters by Jiazhi Li, Weicun Zhang, Quanmin Zhu

“…Based on radial basis function neural networks (RBFNNs), we propose weighted multiple-model neural network adaptive control (WMNNAC) approach. …”
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Extracting neutron skin from elastic proton-nucleus scattering with deep neural network by G.H. Yang, Y. Kuang, Z.X. Yang, Z.P. Li

“…Based on the relativistic impulse approximation of proton-nucleus elastic scattering theory, the neutron density distribution and neutron skin thickness of 48Ca are estimated via the deep learning method. The neural-network-generated neutron densities are mainly compressed to be higher inside the nucleus compared with the results from the relativistic PC-PK1 density functional, resulting in a significant improvement on the large-angle scattering observables, both for the differential cross section and analyzing power. …”
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Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3 by Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah

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An Artificial Neural Network Based Prediction of Mechanical and Durability Characteristics of Sustainable Geopolymer Composite by P. Manikandan, K. Selija, V. Vasugi, V. Prem Kumar, L. Natrayan, M. Helen Santhi, G. Senthil Kumaran

“…Furthermore, an artificial neural network prototype was proposed in this work to forecast the mechanical and durability properties of fiber reinforced FA-RHA blended geopolymer mortar. …”
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Research on Risk Prediction of Condiments Based on Gray Correlation Analysis – Deep Neural Networks by Miao Zhang, Yiran Wan, Haiyang He, Yuanjia Hu, Changhong Zhang, Jingyuan Nie, Yanlei Wu, Kaiying Deng, Xun Lei, Xianliang Huang

Subjects: “…Deep neural network…”
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Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network by Xiangguang Dai, Chuandong Li, Biqun Xiang

“…By adopting one parameter in the neural network, the global optimal solution can be searched. …”
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APPLICATION OF COMPRESSIVE SENSING AND IMPROVED DEEP WAVELET NEURAL NETWORK IN BEARING FAULT DIAGNOSIS by DU XiaoLei, CHEN ZhiGang, ZHANG Nan, XU Xu

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Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network by Xia Yuan, Xiaohua Hao, Xuewen Song, Jianli Zhang, Gang An

Subjects: “…RBF neural network…”
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Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks by Venkata N. Raju Jampana, P. S. V. Ramana Rao, A. Sampathkumar

“…Further, back propagated neural network (BPNN) with feed forward architecture with analysis of variance (ANOVA) is used to find the best fit and approximate solutions to optimization and search problems. …”
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Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument by Wenqing Zheng, Tao Xie, Wenxiang Fang

“…This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). …”
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Research on Density Peak Clustering Color-Separation Algorithm Based on SOM Neural Network by Xin Ru, Yanhao Wang, Ran Chen, Zhifa Zeng, Laihu Peng, Wei Tang, Weimin Shi, Hui Wang

Subjects: “…self-organizing mapping (SOM) neural network…”
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Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network by LIN Zhiyan

Subjects: “…BP neural network…”
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Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region by Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Vinicius D. Lima, Herminio S. Gomes, Gervásio P. S. Cavalcante

“…This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. …”
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Research on Adaptive Back-stepping Control of Harmonic Drive Based on the RBF Neural Network by Song Gang, Chen Manyi, Qiu Linfeng, Zhang Jie

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Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis by Wenqing Fu, Heng Liu

“…An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. …”
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