Z2×Z3 Equivariant Bifurcation in Coupled Two Neural Network Rings by Baodong Zheng, Haidong Yin

“…We also found that the spatiotemporal patterns of bifurcating periodic oscillations alternate according to the change of the propagation time delay in the coupling; that is, different ranges of delays correspond to different patterns of neural network oscillators. The oscillations of corresponding neurons in the two loops can be in phase, antiphase, T/3,  2T/3,  4T/3,  5T/6, or 7T/6 periods out of phase depending on the delay. …”
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Novel Global Exponential Stability Criterion for Recurrent Neural Networks with Time-Varying Delay by Wenguang Luo, Xiuling Wang, Yonghua Liu, Hongli Lan

“…The problem of global exponential stability for recurrent neural networks with time-varying delay is investigated. …”
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Cognitive Feature Extraction of Puns Code-Switching Based on Neural Network Optimization Algorithm by Jing Zhang, Qiaoyun Liao, Lipei Li

“…Therefore, this paper proposes research on cognitive feature extraction of pun code-switching based on a neural network optimization algorithm. It mainly introduces code-switching under cognitive language and also briefly analyzes code-switching and speech feature extraction and uses a neural network optimization algorithm to conduct an in-depth analysis of code-switching. …”
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Improved Stability Criteria of Static Recurrent Neural Networks with a Time-Varying Delay by Lei Ding, Hong-Bing Zeng, Wei Wang, Fei Yu

“…This paper investigates the stability of static recurrent neural networks (SRNNs) with a time-varying delay. Based on the complete delay-decomposing approach and quadratic separation framework, a novel Lyapunov-Krasovskii functional is constructed. …”
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Exponential Stability of Periodic Solutions for Inertial Type BAM Cohen-Grossberg Neural Networks by Chunfang Miao, Yunquan Ke

“…The existence and exponential stability of periodic solutions for inertial type BAM Cohen-Grossberg neural networks are investigated. First, by properly choosing variable substitution, the system is transformed to first order differential equation. …”
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Feature Extraction Processing Method of Medical Image Fusion Based on Neural Network Algorithm by Tianming Song, Xiaoyang Yu, Shuang Yu, Zhe Ren, Yawei Qu

“…Combined with the learning idea of convolution neural network, the image multifeature vectors are quantized in a deeper level, which makes the image features further abstract and not only makes up for the one-sidedness of single feature description but also improves the robustness of feature descriptors. …”
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The Construction of Smart Chinese Medicine Cloud Health Platform Based on Deep Neural Networks by Yaofeng Miao, Yuan Zhou

“…Therefore, the construction of a smart traditional Chinese medicine (TCM) cloud health platform based on deep neural networks has become a current research hotspot. …”
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Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer by Neha Sharma, Hari Om

“…The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. …”
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Identification and Discrimination of Brands of Fuels by Gas Chromatography and Neural Networks Algorithm in Forensic Research by L. Ugena, S. Moncayo, S. Manzoor, D. Rosales, J. O. Cáceres

“…In this work, a method based on gas chromatography (GC) and neural networks (NN) has been developed and applied to the identification and discrimination of brands of fuels such as gasoline and diesel without the necessity to determine the composition of the samples. …”
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Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network by Yanwei Xu, Weiwei Cai, Tancheng Xie, Pengfei Zhao

“…Finally, the collected bearing life is divided into five stages, and the processed multiple eigenvalues are fused and input into convolutional neural network for training and recognition. The results show that the probability of predicting the stage of bearing life based on multiple eigenvalues and convolutional neural network is more than 98%.…”
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Control Method of Nanomaterial Numerical Control Electronic Processing Based on RBF Neural Network by Haiyan Wang, Fanwei Meng

“…In the early stage of the machining process, the BP neural network is generally used to control the CNC machining. …”
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Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products by Yi Xue

“…Based on this, this paper proposes a recursive neural network-based algorithm to predict the future demand and development trend of calligraphy practice products through extensive and in-depth research, so as to provide positive and beneficial guidance for enterprises’ future production and sales.…”
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Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southeast Pakistan by Furqan Aftab, Furqan Aftab, Furqan Aftab, Furqan Aftab, Mohammad Zafar, Muhammad Iqbal Hajana, John H. Shaw

Subjects: “…artificial neural network…”
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Target Tracking in 4D Ultrasound using Localization Networks by Krause Cassandra, Wulff Daniel, Ernst Floris

Subjects: “…convolutional neural network…”
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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm by Othman O. Khalifa, Muhammad H. Wajdi, Rashid A. Saeed, Aisha H. A. Hashim, Muhammed Z. Ahmed, Elmustafa Sayed Ali

“…In addition, a method of utilizing Convolutional Neural Network (CNN) is used for the detection of vehicles from roadway camera outputs to apply video processing techniques and extract the desired information. …”
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Adaptive Trajectory Tracking Algorithm of a Quadrotor with Sliding Mode Control and Multilayer Neural Network by Kang Niu, Di Yang, Xi Chen, Rong Wang, Jianqiao Yu

“…To improve the trajectory tracking accuracy, the anti-jamming performance, and the environment adaptability of a quadrotor, the paper proposes a new adaptive trajectory tracking algorithm with multilayer neural network and sliding mode control method. The major difference between other related approaches is that the paper uses the multilayer neural network in the system and the neural network is online computing in the whole process. …”
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Coverage Properties of a Neural Network Estimator of Finite Population Total in High-Dimensional Space by Festus A. Were, George O. Orwa, Romanus O. Otieno, Nicholas Makumi, Ramy Aldallal

“…The results presented in this paper show good performance in terms of bias, MSE, and mean absolute error for the feedforward backpropagation neural network estimator as compared to other identified existing estimators of finite population total in high-dimensional datasets. …”
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Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Discrete Dynamics in Nature and Society

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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…In this study, we make use of Resnet 34, a well-known convolutional neural network (CNN) architecture, to identify RRab stars with BL from phased light curves collected from OGLE. …”
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