Showing 1 - 7 results of 7 for search '"ridge"', query time: 0.06s Refine Results
  1. 1

    Mid-infrared quantum cascade lasers by Chen, Tuoyang

    Published 2021
    “…Keywords: Mid Infrared, Quantum Cascade Laser, Ridge QCL, Slot QCL…”
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    Thesis-Master by Coursework
  2. 2

    Wide-band horn antennas of low profile by Chen, Zihao

    Published 2021
    “…This thesis first discusses the development of ultra-wideband antennas and introduces the basic theories of antennas and ridge waveguides. Second, an ultra-wideband ridged horn antenna is designed on this basis. …”
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    Thesis-Master by Coursework
  3. 3

    Predicting chiller system parameters using artificial neural networks : an experimental study by Venkatesalu Ishwariya

    Published 2020
    “…Comparing with the sklearn ridge regression model with 0.8807 Training R^2 score and 0.875 Testing R^2 score. …”
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    Thesis-Master by Coursework
  4. 4

    Machine learning for value investing by Jin, Zhenyu

    Published 2024
    “…Through the analysis of the annual financial data (revenue, profit, assets, liabilities and other financial indicators) of thousands of listed companies by using ridge regression, aim to predict the future stock price of enterprises. …”
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    Thesis-Master by Coursework
  5. 5

    Applying continual learning strategy on random vector functional link neural network based ensemble deep learning by Peng, Liuchang

    Published 2021
    “…After doing the comparisons and analysis, I found that the Continual Learning strategy has the possibility and indeed can be practically applied to the RVFL network and ed-RVFL network which use the Ridge Regression method to compute the weights. The accuracy after applying a continual learning strategy can reach 84% of the original accuracy and the results generated on edRVFL network are 1.36% better than the results generated on RVFL network.…”
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    Thesis-Master by Coursework
  6. 6

    A two-layer portfolio model based on machine learning for productivity prediction of garment industry by Zhou, Yiran

    Published 2023
    “…Seven independent regression models, including ridge regression model, Bayesian linear regression model, polynomial regression model, SVM regression model, random forest regression model, GBDT regression model and neural network regression model, are used as base learners in the bottom layer while a random forest regression algorithm based generalizer is developed in the top layer, aiming to combine the independent regression models together to form one portfolio model. …”
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    Thesis-Master by Coursework
  7. 7

    Horn antenna of constant beam width by Zhang, Xiao

    Published 2022
    “…This project aims at designing a horn antenna that can work during a wide frequency band and its half power beamwidth (HPBW) is nearly invariable. A double-ridged waveguide modified from the conventional one is designed to achieve the broadband operation. …”
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    Thesis-Master by Coursework