Search Results - (( java implementation bat algorithm ) OR ( basic generic functional algorithm ))

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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    Automatic generic process migration system in linux

    Automatic generic process migration system in linux by Zarrabi, Amirreza

    Published 2012
    “…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
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    Thesis
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  3. 3
    Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics

    Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics by Hoo, Shean Chuan

    Published 2009
    “…Formulation has been performed to obtain generic function equations for Cp, Hf, Sf, Hfg, Sfg. …”
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    Final Year Project
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  4. 4
    Speech emotion verification system (SEVS) based on MFCC for real time applications

    Speech emotion verification system (SEVS) based on MFCC for real time applications by Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab

    Published 2008
    “…Since features extracted using the MFCC simulates the function of the human cochlea, neural network (NN) and fuzzy neural network algorithm namely; Multi Layer Perceptron (MLP), Adaptive Network-based Fuzzy Inference System (ANFIS) and Generic Selforganizing Fuzzy Neural Network (GenSoFNN) were used to verify the different emotions. …”
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    Proceeding Paper
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  5. 5
    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…The other one is the network training’s environment optimization that is done through hyperparameter optimization by selecting and fine-tuning high impact parameters which include Optimizer, Learning Rate and Dropout to reduce error rate (loss function). The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
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