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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Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG by Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O’Toole

“…We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. A convolutional neural network was trained and tested on over 50,000 hours (n = 202) of annotated single-channel EEG containing 12,402 seizure events. …”
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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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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals by Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, Mustafa Akkuş, Sevler Yıldız

“…In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. …”
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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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Terminal zeroing neural network for time-varying matrix computing under bounded noise by ZHONG Guomin, TANG Yifei, SUN Mingxuan

“…To improve the convergence performance of zeroing neural network (ZNN) for time-varying matrix computation problems solving, a terminal zeroing neural network (TZNN) with noise resistance and its logarithmically accelerated form (LA-TZNN) were proposed. …”
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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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Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks by R. Aiudi, R. Pacelli, P. Baglioni, A. Vezzani, R. Burioni, P. Rotondo

“…This finding highlights a simple mechanism for feature learning that can take place in overparametrized shallow convolutional neural networks, but not in shallow fully-connected architectures or in locally connected neural networks without weight sharing.…”
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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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Comparative analysis of CNN models for handwritten digit recognition by Krystyna Banaszewska, Małgorzata Plechawska-Wójcik

Subjects: “…convolutional neural networks…”
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Identification of discrete chaotic maps with singular points by P. G. Akishin, P. Akritas, I. Antoniou, V. V. Ivanov

Subjects: “…Neural networks; Chaotic maps; Wavelets.…”
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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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Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction by Fayrouz Allam

Subjects: “…Recurrent neural network…”
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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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A dance movement quality evaluation model using transformer encoder and convolutional neural network by Jiping Qu

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