Search Results - (( evolution optimization mining algorithm ) OR ( using mixed methods algorithm ))
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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Logic mining method via hybrid discrete hopfield neural network
Published 2025“…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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Improved expectation maximization algorithm for Gaussian mixed model using the kernel method
Published 2013“…We look at several issues encountered when calculating the maximum likelihood estimates of the Gaussian mixed model using an Expectation Maximization algorithm. …”
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Descriptive analysis of patient diet trends at Pantai Hospital Ayer Keroh
Published 2025“…Without effective data analysis, it is challenging to track dietary trends, assess patient preferences, and optimize meal preparation. To address this problem, this project focuses on enhancing various aspects of healthcare dietary operations by employing CRISP-DM as the methodology to structure the data mining process. …”
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A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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Iterative Algorithm for extended mixed equilibrium problem
Published 2016“…In this paper, we introduce and study an extended mixed equilibrium problem by using auxiliary principle technique. …”
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Fraud detection in telecommunication industry using Gaussian mixed model
Published 2013“…The expectation maximization algorithm is used to estimate the parameter of the model such that the initial values of the algorithm is determined using the kernel method. …”
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Mixed Unscented Kalman Filter and differential evolution for parameter identification
Published 2013“…The aim is to model the coupled tank system using mixed UKF and DE method to estimate the parameters of the tank. …”
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Enhancement of text-based advanced encryption standard algorithm (AES) in the android platform / Mohamad Zakirin Mohammad Zahari
Published 2014“…This will help to speed up the algorithm because mix column step was using high calculation and needs a lot of time to process it. …”
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Hybrid performance measures and mixed evaluation method for data classification problems
Published 2012“…For a systematic analysis, the mixed evaluation method is implemented into two stages. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Path planning algorithm for a car like robot based on MILP method
Published 2013“…The final phases are the design and build coalitions of linear programs and binary constraints to avoid collision with obstacles by Integer Mixed Linear Program (MILP). The findings of this research have shown that the MILP method can be used in the path planning problem in terms of finding a safe and shortest path. …”
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Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
Published 2022“…Levenberg-Marquardt algorithm and conjugate gradient method are frequently used for optimization in multi-layer perceptron (MLP). …”
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Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
Published 2022“…Levenberg-Marquardt algorithm and conjugate gradient method are frequently used for optimization in multi-layer perceptron (MLP). …”
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Optimization of distributed generation using mix-integer optimization by genetic algorithm (MIOGA) Considering Load Growth
Published 2022“…In this paper, the planning of distributed generation (DG) is presented with a metaheuristic technique called mix-integer optimization by genetic algorithm (MIOGA). …”
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