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    Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms by Özgür Özer, Harun Kemal Öztürk

    Published 2025-01-01
    “…Heuristic methods, particularly the widely used artificial neural networks and genetic algorithms, are explained in general terms. …”
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    Research on Food Security Risk Assessment and Early Warning in China Based on BP Neural Network Model by Yuke Hou, Xin Liang

    Published 2022-01-01
    “…This paper constructs a food security evaluation system from the perspective of data, breaks through the limitations of existing research, and improves the completeness of food security early warning indicators. Because the BP neural network is a multilayer feedforward neural network with strong adaptability, it is one of the most widely used and successful neural network models at present. …”
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    Stability Analysis of Discrete Hopfield Neural Networks with the Nonnegative Definite Monotone Increasing Weight Function Matrix by Jun Li, Yongfeng Diao, Mingdong Li, Xing Yin

    Published 2009-01-01
    “…The original Hopfield neural networks model is adapted so that the weights of the resulting network are time varying. …”
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  7. 2167

    Sentiment analysis of Algerian Arabic dialect on social media Using Bi-LSTM recurrent neural networks by Abdelghani BOUZIANE, Benamar BOUOUGADA, Djelloul BOUCHIHA, Noureddine DOUMI

    Published 2024-10-01
    “… This paper presents a sentiment analysis approach using Bidirectional Long Short-Term Memory (Bi-LSTM) Recurrent Neural Networks to train predictive models for sentiment analysis on social media, particularly focusing on Algerian Arabic Dialect. …”
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  8. 2168

    Seismic Response Analysis and Evaluation of Laminated Rubber Bearing Supported Bridge Based on the Artificial Neural Network by Bingzhe Zhang, Kehai Wang, Guanya Lu, Weizuo Guo

    Published 2021-01-01
    “…A new constitutive model of bearing based on the artificial neural network (ANN) technique is established through the static cyclic test of laminated rubber bearings, considering the bearing initial stiffness, friction coefficient, and other parameters such as the bearing sectional area, height, loading velocity, vertical load, and aging time. …”
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  9. 2169

    Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning by Alejandro Baldominos, Yago Saez, Pedro Isasi

    Published 2019-01-01
    “…Neuroevolution is the field of study that uses evolutionary computation in order to optimize certain aspect of the design of neural networks, most often its topology and hyperparameters. …”
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    Quasi-Normal Modes: The “Electrons” of Black Holes as “Gravitational Atoms”? Implications for the Black Hole Information Puzzle by Christian Corda

    Published 2015-01-01
    “…Some recent important results on black hole (BH) quantum physics concerning the BH effective state and the natural correspondence between Hawking radiation and BH quasi-normal modes (QNMs) are reviewed, clarified, and refined. …”
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    Identification of Industrial Furnace Temperature for Sintering Process in Nuclear Fuel Fabrication Using NARX Neural Networks by Dede Sutarya, Benyamin Kusumoputro

    Published 2014-01-01
    “…Among the different nonlinear identification techniques, methods based on neural network model are gradually becoming established not only in the academia, but also in industrial application. …”
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    Research on Neural Network Prediction Model of Whole Process Risk Management Based on Building Information Model by Shihong Huang, Chengye Liang, Jiao Liu

    Published 2024-01-01
    “…The international large public sports center project is used as a case study to establish a BIM model, while the BP neural network risk management model is used for prediction and calculation. …”
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    A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

    Published 2021-12-01
    Subjects: “…Particle Swarm Optimization, Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks.…”
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  17. 2177

    Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine by Muhammad Ali, Dost Muhammad Khan, Muhammad Aamir, Amjad Ali, Zubair Ahmad

    Published 2021-01-01
    “…The main objective of this research work is to predict the direction movement of the daily stock prices index using the artificial neural network (ANN) and support vector machine (SVM). …”
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    Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

    Published 2021-04-01
    “…A novel method, namely, a rag‐Rider optimisation algorithm (rag‐ROA) is devised for training a deep recurrent neural network (Deep RNN) to discover epileptic seizures. …”
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