Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease by Mohamed Shalaby, Nahla A. Belal, Yasser Omar

“…In this paper, a Siamese neural network is applied to diagnose PD. Siamese networks predict the sample class by estimating how similar a sample is to other samples. …”
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Potential Effects of Delay on the Stability of a Class of Impulsive Neural Networks by Nan Zhan, Ailong Wu

“…Aiming at the interference of the delay term in continuous dynamics to the impulsive systems, we study the potential effects of time delay on the stability of a class of impulsive neural networks (INNs) in this paper. Two cases of delay are considered. …”
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Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks by Qing Zhang, Benqiang Wang, Xusheng Liang, Yizhen Li, Feng He, Yuexiang Hao

“…The digital core modeling method based on generative adversarial neural networks (GANs) has attracted wide attention due to its good quality and simple generation process. …”
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Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control by Hongliang Gao, Xiaoling Li, Chao Gao, Jie Wu

“…Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed. …”
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Classification of Layers Using Artificial Neural Networks in the Province of Kurdistan (Iran) by Semko Arefpanah, Alireza Sharafi, Alireza Gholamian

“…Artificial Neural Networks (ANN) is a field that combines science, technology, and ancient and modern knowledge. …”
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Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays by Qing Zhu, Aiguo Song, Shumin Fei, Yuequan Yang, Zhiqiang Cao

“…Synchronization control of stochastic neural networks with time-varying discrete and continuous delays has been investigated. …”
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Estimating Weak Pulse Signal in Chaotic Background with Jordan Neural Network by Liyun Su, Xiu Ling

“…Traditional schemes, such as Elman neural network (ENN), backpropagation neural network (BPNN), support vector machine (SVM), and multilayer perceptron- (MLP-) based model, are insufficient to extract the weak signal embedded in a chaotic background. …”
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Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting by S. V. Sholtanyuk

Subjects: “…neural network…”
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Comparison of artificial neural network models of categorized daily electric load by Vildan Evren, İlker Ali Ozkan

Subjects: “…artificial neural network…”
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Exponential synchronization of neural networks with mixed delays under impulsive control by Wanshun Zhao, Kelin Li, Yanchao Shi

Subjects: “…neural networks…”
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Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

“…It is suggested that through reinforcement learning using a recurrent neural network, both emerge purposively and simultaneously without testing individually whether or not each piece of information is predictable. …”
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An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network by Tianye Xing, Yidan Wang, Yingxue Liu, Qi Wu, Rong Ma, Xiaoling Shang

“…This paper comprehensively reviews the structural health monitoring method based on an intelligent algorithm, introduces the application model of neural networks in structural health monitoring in detail, and points out the shortcomings of using neural network technology alone. …”
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PDE-Based Physics Guided Neural Network for SAR Image Segmentation by Rachana Rao, B. Roja Reddy, M. Uttara Kumari

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Synchronization of Neural Networks with Mixed Time Delays under Information Constraints by Dedong Yang, He-Xu Sun, Peng Yang, Tai-Hang Du

“…This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. …”
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Well Control Optimization of Waterflooding Oilfield Based on Deep Neural Network by Lihui Tang, Junjian Li, Wenming Lu, Peiqing Lian, Hao Wang, Hanqiao Jiang, Fulong Wang, Hongge Jia

“…This paper proposes a new method of a well control optimization method based on a multi-input deep neural network. This method takes the production history data of the reservoir as the main input and the saturation field as the auxiliary input and establishes a multi-input deep neural network for learning, forming a production dynamic prediction model instead of conventional numerical simulators. …”
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Accurate Recognition of Motion Patterns Based on Artificial Visual Neural Network by Meiqi Li

“…In order to improve the accuracy of motion pattern recognition, this paper combines the artificial visual neural network to construct a motion pattern recognition system. …”
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Designing neural networks for modeling biological data: A statistical perspective by Michele La Rocca, Cira Perna

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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

Subjects: “…convolutional neural network…”
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