Genome-wide association study on color-image-based convolutional neural networks by Han-Ming Liu, Zhao-Fa Liu, Zi Li, Cong Yu, Peng-Cheng Hu, Qi-Feng Liu, Tai-Gui Shi

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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

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Multistability and Instability of Competitive Neural Networks with Mexican-Hat-Type Activation Functions by Xiaobing Nie, Jinde Cao, Shumin Fei

“…We investigate the existence and dynamical behaviors of multiple equilibria for competitive neural networks with a class of general Mexican-hat-type activation functions. …”
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Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks by Huisheng Zhang, Chao Zhang, Wei Wu

“…The batch split-complex backpropagation (BSCBP) algorithm for training complex-valued neural networks is considered. For constant learning rate, it is proved that the error function of BSCBP algorithm is monotone during the training iteration process, and the gradient of the error function tends to zero. …”
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Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network by Liang Feng, Zhang Dandan, Zhang Ronghua

“…By using the theory and methods of Matlab software based on neural networks,the BP neural network model is constructed to study the work of stern bearing friction coefficient,temperature,noise,vibration and bearing condition characterized by the relationship between the parameters of the time,in order to achieve fault diagnosis for water lubricated stern bearing operating conditions. …”
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Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management by Zhuojie Li

“…According to the BP neural network algorithm, for the problem that the input variables of the BP network cannot be automatically optimized during the modeling process of the multivariable complex system, it is used to establish a neural network optimization algorithm according to the gray correlation analysis (GM2 BPANN). …”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…., recurrent neutral networks and graph neural networks, have been proposed for weather forecasting. …”
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Dual Convolution Neural Networks of Ensemble Learning with Attention Mechanism for Rice Classification by Cheng Linfeng

“…The aim of this project is to develop a dual convolutional neural network for ensemble learning based on the initial model and the res network model, and apply the ensemble model to the rice classification problem. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

“…Based on a suitable network topology and transfer function, the presented work proposes an algorithm for training radial basis function neural networks (RBFNNs) that is applied to the problem of channel equalization. …”
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Offline English Handwritten Character Recognition using Sequential Convolutional Neural Network by Muhammad Iqbal, Muniba Humayun, Raheel Siddiqi, Christopher J. Harrison, Muneeb Abid Malik

“…This research paper proposes a deep learning convolutional neural network that is tested and compared with renowned pre-trained models using transfer learning. …”
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Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks by Maryam Rahmaty, Amir Daneshvar, Fariba Salahi, Maryam Ebrahimi, Adel Pourghader Chobar

“…This study proposes a hybrid system based on fuzzy entropy criterion selection algorithm with similar classifiers, grey wolf optimization algorithm, and artificial neural network to predict the customer churn of those companies that suffer losses from losing customers over time. …”
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Global Robust Exponential Stability Analysis for Interval Neural Networks with Mixed Delays by Yanke Du, Rui Xu

“…A class of interval neural networks with time-varying delays and distributed delays is investigated. …”
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Lost-minimum post-training parameter quantization method for convolutional neural network by Fan ZHANG, Yun HUANG, Zizhuo FANG, Wei GUO

Subjects: “…convolutional neural network…”
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Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

“…However, the errors of the BP neural network model, the BP neural network improved by genetic algorithm, and the pluralistic return were larger. …”
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Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

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Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence by Abhinandan Khan, Sudip Mandal, Rajat Kumar Pal, Goutam Saha

“…We have employed the Recurrent Neural Network formalism to extract the underlying dynamics present in the time series expression data accurately. …”
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Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network by Ruyi Yang

“…The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.…”
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Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

“…To alleviate the problem, we proposed a squelch algorithm for ultra-short wave communication based on a deep neural network and the traditional energy decision method. …”
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORK AND CHAOS THEORY IN FAULT DIAGNOSIS OF ROLLING BEARINGS by JIN JiangTao, XU ZiFei, LI Chun, MIAO WeiPao, ZHANG WanFu, LI Gen

Subjects: “…Convolutional neural network…”
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Deep neural networks and humans both benefit from compositional language structure by Lukas Galke, Yoav Ram, Limor Raviv

“…Abstract Deep neural networks drive the success of natural language processing. …”
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