Estimating cash in bank branches by time series and neural network approaches by Pejman Peykani, Farzad Eshghi, Alireza Jandaghian, Hamed Farrokhi-Asl, Farid Tondnevis

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Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction by Nor Irwin Basir, Kathlyn Kaiyun Tan, Danny Hartanto Djarum, Zainal Ahmad, Dai-Viet N. Vo, Zhang Jie

“…The performance of these autoencoder models is also compared with other models, such as feedforward artificial neural networks (FANN) and principal component analysis (PCA). …”
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Tourism Demand Forecasting Based on Grey Model and BP Neural Network by Xing Ma

“…Then, combining BP neural network with the grey model, the grey neural network combination model is established to forecast the number of tourists. …”
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Biologically Inspired Spatial–Temporal Perceiving Strategies for Spiking Neural Network by Yu Zheng, Jingfeng Xue, Jing Liu, Yanjun Zhang

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Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network by Ran ZHANG, Huihua KONG, Jiaxin LI, Yijiao SONG

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Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control by Yue Zhu, Sihong Zhu

“…By recognizing and training the adaptive neural network, the adaptive neural network active suspension controller is obtained. …”
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Analysis of Consumer Behavior Data Based on Deep Neural Network Model by Shijiao Yuan

“…In this algorithm, the sheep nodes are not fixed, but the number of hidden layers and unit nodes of the neural network are dynamically determined according to the sample training. …”
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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

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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

“…Furthermore, an improved PID controller based on RBF neural network supervision control strategy (IPID-RBF) is presented. …”
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Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

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Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…Results show that stacked neural network model ensembles make multivariate driver forecasts which outperform the operational linear method. …”
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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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