Showing 121 - 140 results of 985 for search '"artificial neural networks"', query time: 0.05s Refine Results
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    OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY by SYLVESTER UWADIAE, FAITH OVIESU, BAMIDELE AYODELE

    Published 2020-06-01
    “… The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. …”
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  7. 127

    A Memristive Hyperjerk Chaotic System: Amplitude Control, FPGA Design, and Prediction with Artificial Neural Network by Ran Wang, Chunbiao Li, Serdar Çiçek, Karthikeyan Rajagopal, Xin Zhang

    Published 2021-01-01
    “…Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.…”
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    ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY by EYERE EMAGBETERE, OGHENEKOWHO PETER ARUOTURE, FESTUS IFEANYI ASHIEDU

    Published 2019-03-01
    “… Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). …”
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    Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network by J. Mohammadhassani, Sh. Khalilarya, M. Solimanpur, A. Dadvand

    Published 2012-01-01
    “…In the present study, artificial neural network is used to model the relationship between NOx emissions and operating parameters of a direct injection diesel engine. …”
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    Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks by Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke

    Published 2021-01-01
    “…Therefore, in this work, genetic programming (GP) and artificial neural network (ANN) have been used to predict the consistency limits, i.e., liquid limits, plastic limit, and plasticity index of unsaturated soil treated with a composite binder known as hybrid cement (HC) made from blending nanostructured quarry fines (NQF) and hydrated-lime-activated nanostructured rice husk ash (HANRHA). …”
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    Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

    Published 2024-01-01
    “…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. …”
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    Modeling Ring Current Proton Fluxes Using Artificial Neural Network and Van Allen Probe Measurements by Jinxing Li, Jacob Bortnik, Xiangning Chu, Donglai Ma, Sheng Tian, Chih‐Ping Wang, Jerry W. Manweiler, Louis J. Lanzerotti

    Published 2023-05-01
    “…We train an artificial neural network (ANN) model to reproduce proton fluxes measured by the Radiation Belt Storm Probes Ion Composition Experiment instrument onboard Van Allen Probes. …”
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