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A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network
Published 2016-01-01“…The parameters of fuzzy wavelet neural network were optimized by QPSO algorithm. Finally, the QPSO-FWNN could be used in prediction of network traffic simulation successfully and evaluate the performance of different prediction models such as BP neural network, RBF neural network, fuzzy neural network, and FWNN-GA neural network. …”
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Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network
Published 2021-10-01“…Analisis sentimen dilakukan dengan menggunakan Convolutional Neural Network (CNN) dan word embedding Word2vec sebagai representasi kata. …”
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Artificial neural network detection of pancreatic cancer from proton (1H) magnetic resonance spectroscopy patterns of plasma metabolites
Published 2025-01-01“…We next trained a system of artificial neural networks (ANNs) to process and discriminate these three classes using the full spectrum range and resolution of the acquired spectral data. …”
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RETRACTED ARTICLE: Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Published 2023-10-01“…A multi-headed convolutional neural network (CNN) model has been proposed and tested with 30% of the dataset to train these two layers. …”
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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation
Published 2024-01-01Subjects: “…Convolutional neural network…”
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Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network
Published 2024-12-01“…Abstract The study utilizes the RBF neural network model to evaluate the green development of the Pearl River Delta urban agglomeration, revealing a consistent increase in development levels from 2005 to 2020 despite notable inter‐city variations. …”
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Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT
Published 2025-01-01“…Furthermore, an ensemble deep learning (DL) of two methods, namely convolutional neural networks (CNNs) and deep belief networks (DBNs) methods, are employed for classification. …”
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Guaranteed Cost Control for Exponential Synchronization of Cellular Neural Networks with Mixed Time-Varying Delays via Hybrid Feedback Control
Published 2013-01-01“…The problem of guaranteed cost control for exponential synchronization of cellular neural networks with interval nondifferentiable and distributed time-varying delays via hybrid feedback control is considered. …”
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Evaluating the Smoothness of the Washed Fabric after Laundry with the Washing Machine Based on a New Type-2 Fuzzy Neural Network
Published 2022-01-01“…Theoretical evaluations were studied by the development of a new type-2 fuzzy neural network. In this model the thickness, weight, warp and weft density per inch, warp and weft Tex as linear density, and cover factor of the fabric in warp and weft directions were considered as input parameters and the wrinkle grade of the washed fabric was output. …”
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MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features
Published 2024-12-01Subjects: Get full text
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Comparative Analysis of Neural-Network and Fuzzy Auto-Tuning Sliding Mode Controls for Overhead Cranes under Payload and Cable Variations
Published 2019-01-01“…It was observed that the response of the controller with back-propagation-trained neural-network was more effective relative to that of the fuzzy algorithm.…”
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Application of Radial Basis Function Neural Network Coupling Particle Swarm Optimization Algorithm to Classification of Saudi Arabia Stock Returns
Published 2021-01-01“…These data are further used to train artificial neural network in conjunction with particle swarm optimization algorithm. …”
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Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid
Published 2021-03-01Subjects: Get full text
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Communication Analysis of Network-Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network
Published 2018-01-01“…The proposed models mainly cover interentity traffic and intraentity mobility developed in the form of feed-forward neural networks to guarantee two-way interactions between the combat system and the network system. …”
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