Showing 1,221 - 1,240 results of 3,911 for search '"neural network"', query time: 0.08s Refine Results
  1. 1221

    GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China by Bin Li, Nianqin Wang, Jing Chen

    Published 2021-01-01
    “…In this paper, the information method (IM) model, frequency ratio (FR) model, and artificial neural network (ANN) model are used to evaluate the susceptibility of geological hazards, and the receiver operating characteristic (ROC) curve of disaster points at different levels is used to test the evaluation accuracy of three models. …”
    Get full text
    Article
  2. 1222

    Delay-Range-Dependent Global Robust Passivity Analysis of Discrete-Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay by Chien-Yu Lu, Chin-Wen Liao, Hsun-Heng Tsai

    Published 2009-01-01
    “…This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRNNs) with norm-bounded time-varying parameter uncertainties and interval time-varying delay. …”
    Get full text
    Article
  3. 1223

    A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm by Deliang Yu, Yanmei Li, Hao Sun, Yulong Ren, Yongming Zhang, Weigui Qi

    Published 2017-01-01
    “…This paper presents a new method to diagnose oil well pump faults using a modified radial basis function neural network. With the development of submersible linear motor technology, rodless pumping units have been widely used in oil exploration. …”
    Get full text
    Article
  4. 1224

    Perbandingan Prediksi Penggunaan Listrik dengan Menggunakan Metode Long Short Term Memory (LSTM) dan Recurrent Neural Network (RNN) by Nurfatima Selle, Novanto Yudistira, Candra Dewi

    Published 2022-02-01
    “…Penelitian ini menggunakan metode Recurrent Neural Network (RNN) dan Long Short Term Memory (LSTM) yang merupakan metode pembelajaran deep learning. …”
    Get full text
    Article
  5. 1225
  6. 1226
  7. 1227
  8. 1228

    Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

    Published 2025-01-01
    “…This study introduces an innovative approach using Artificial Neural Networks (ANN) combined with the graphical interface to predict complete curves of real and reactive power losses in power systems under various contingencies. …”
    Get full text
    Article
  9. 1229

    A New Artificial Neural Network Model for the Prediction of the Effect of Molar Ratios on Compressive Strength of Fly Ash-Slag Geopolymer Mortar by Shaise K. John, Alessio Cascardi, Yashida Nadir, Maria Antonietta Aiello, K. Girija

    Published 2021-01-01
    “…In this study, an Artificial Neural Network (ANN) model has been applied to predict the effect of molar ratios on the 28-day compressive strength of fly ash-slag geopolymer mortar. …”
    Get full text
    Article
  10. 1230

    Physical Model versus Artificial Neural Network (ANN) Model: A Comparative Study on Modeling Car-Following Behavior at Signalized Intersections by Lan Yang, Shan Fang, Guoyuan Wu, He Sheng, Zhigang Xu, Mengxiao Zhang, Xiangmo Zhao

    Published 2022-01-01
    “…In this study, two novel Artificial Neural Network (ANN) CF models, the Convolutional Neural Network—Long Short-term Memory (CNN-LSTM) and the Convolution-LSTM (Conv-LSTM)—are first applied to predict CF behaviors at signalized intersections. …”
    Get full text
    Article
  11. 1231

    AI-Driven Predictions of Mathematical Problem-Solving Beliefs: Fuzzy Logic, Adaptive Neuro-Fuzzy Inference Systems, and Artificial Neural Networks by Seda Göktepe Körpeoğlu, Ahsen Filiz, Sevda Göktepe Yıldız

    Published 2025-01-01
    “…Three different artificial intelligence models (fuzzy logic, artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS)) were developed, and artificial data were obtained. …”
    Get full text
    Article
  12. 1232

    Sistem Klasifikasi Jenis Sampah Berdasarkan Kombinasi Fitur Warnac Tekstur Menggunakan Artifical Neural Network Berbasis Pengolahan Citra Digital by Rezki Nurul Jariah S.Intam, Ahmad Raihan, Muh Alfajri, Andi Baso Kaswar, Dyah Darma Andayani, Asnidar

    Published 2024-08-01
    “…Oleh karena itu, pada penelitian ini dilakukan implementasi teknologi pengolahan citra digital untuk pemilahan sampah menggunakan metode Artifical Neural Network. Adapun metode yang diusulkan terdiri atas enam tahap yaitu, tahap akuisisi citra, preprocessing, segmentasi, morfologi, ekstraksi fitur, dan klasifikasi berdasarkan model jaringan syaraf tiruan yang telah dilatih. …”
    Get full text
    Article
  13. 1233
  14. 1234

    Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays by Lili Zhao, Yongkun Li

    Published 2014-01-01
    “…Some sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions to a class of neutral type high-order Hopfield neural networks with distributed delays by employing fixed point theorem and differential inequality techniques. …”
    Get full text
    Article
  15. 1235

    Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration by Qiang Gao, Yuanlong Hou, Kang Li, Zhan Sun, Chao Wang, Runmin Hou

    Published 2016-01-01
    “…In the NNADRC, the radial basis function (RBF) neural network is employed for online updating of parameters of the extended state observer (ESO). …”
    Get full text
    Article
  16. 1236

    Local Stress Field Correction Method Based on a Genetic Algorithm and a BP Neural Network for In Situ Stress Field Inversion by Tianzhi Yao, Zuguo Mo, Li Qian, Jianhua He, Jianhai Zhang

    Published 2021-01-01
    “…For the problem of a relatively discrete and nonlinear relationship of measured stress in the Yebatan Hydropower Station area, a new in situ stress inversion method called the local stress field correction (LSFC) method combining a genetic algorithm (GA), backpropagation (BP) neural network, and submodel method is proposed. The inverted in situ stress results produced by this method show that the distribution of in situ stress is greatly influenced by tectonic movements in the Yebatan area, there is no obvious linear relationship with depth, and the stress release phenomenon occurs at the faults. …”
    Get full text
    Article
  17. 1237
  18. 1238

    Predicting the Impact of Multiwalled Carbon Nanotubes on the Cement Hydration Products and Durability of Cementitious Matrix Using Artificial Neural Network Modeling Technique by Babak Fakhim, Abolfazl Hassani, Alimorad Rashidi, Parviz Ghodousi

    Published 2013-01-01
    “…In this study the feasibility of using the artificial neural networks modeling in predicting the effect of MWCNT on amount of cement hydration products and improving the quality of cement hydration products microstructures of cement paste was investigated. …”
    Get full text
    Article
  19. 1239
  20. 1240