Existence of Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Neutral Delays by Ninghua Chen

“…This paper considers the existence of periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with neutral delays. By applying the theory of abstract continuation theorem of k-set contractive operator and some analysis technique, a new result on the existence of periodic solutions is obtained.…”
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The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…To solve the said problems, the model of convolutional neural network in the deep learning approach was used in this article to cope with classification and labeling tasks of brain tumor images. …”
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EVALUATION FOR REMAINING LIFE OF BRIDGE CRANE BASED ON RADIAL BASIS NEURAL NETWORK by ZUO Yang, YANG RongPing, MA HaoQin, QIN Ze, BAO DongJie

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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

Subjects: “…quantized neural network…”
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FREQUENCY PREDICTION OF STAGED COMBUSTION ROCKET ENGINE BASED ON RBF NEURAL NETWORK by DU FeiPing, TAN YongHua, CHEN JianHua

Subjects: “…RBF（radial basis function） neural network…”
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Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture by Gulam Dastagir Khan, Ibrahim Al-Naimi

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Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control by Yuhua Xu, Jinmeng Wang, Wuneng Zhou, Xin Wang

“…Finite-time synchronization in pth moment is considered for time varying stochastic chaotic neural networks. Compared with some existing results about finite-time mean square stability of stochastic neural network, we obtain some useful criteria of finite-time synchronization in pth moment for chaotic neural networks based on finite-time nonlinear feedback control and finite-time adaptive feedback control, which are efficient and easy to implement in practical applications. …”
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Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

“…Abstract In this study, we develop a robust real‐time forecast system for the SYM‐H index using Deep Neural Networks and real‐time Solar Wind measurements along with Interplanetary Magnetic Field parameters. …”
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RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK by ZHAO LiJuan, ZHAO MingYang, LIU XuNan

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RESEARCH ON SENSOR TEMPERATURE COMPENSATION SYSTEM BASED ON IMPROVED RBF NEURAL NETWORK by SONG RuiJuan

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Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties by Shuoye Chen, Shunsuke Sakai, Miyuki Matsuo-Ueda, Kenji Umemura

Subjects: “…Convolutional neural network…”
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Modeling and Simulation of Real Estate Valuation Based on Genetic Neural Network Model by Shuli Shen

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Dynamics in a Delayed Neural Network Model of Two Neurons with Inertial Coupling by Changjin Xu, Peiluan Li

“…A delayed neural network model of two neurons with inertial coupling is dealt with in this paper. …”
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Sustainability metrics targeted optimization and electric discharge process modelling by neural networks by Muhammad Sana, Muhammad Asad, Muhammad Umar Farooq, Mehdi Tlija, Rodolfo Haber

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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

“…Abstract Plastic self‐adaptation, nonlinear recurrent dynamics and multi‐scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt, and process information similarly to the way biological brains do. …”
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Almost Sure Stability of Stochastic Neural Networks with Time Delays in the Leakage Terms by Mingzhu Song, Quanxin Zhu, Hongwei Zhou

“…The stability issue is investigated for a class of stochastic neural networks with time delays in the leakage terms. …”
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Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

“…The flexibility of the neural network would also allow for its application to a wide variety of data with interacting components, such as vocal communication. ​…”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

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Research on vehicle feature recognition algorithm based on optimized convolutional neural network by Xuan CHEN, Jiyi WU

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LMI-Based Stability Criteria for Discrete-Time Neural Networks with Multiple Delays by Hui Xu, Ranchao Wu

“…In the current paper, a discrete model of continuous-time neural networks with variable and distributed delays is investigated. …”
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