Search Results - (( _ evaluation study algorithm ) OR ( parameter adaptation index algorithm ))
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Dynamic probability selection for flower pollination algorithm based on metropolis-hastings criteria
Published 2021“…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
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Impact of Balanced Exploration and Exploitation on High-dimensional Feature Selection with Hierarchical Whale Optimisation Algorithm
Published 2024“…While metaheuristic algorithms like the Whale Optimisation Algorithm (WOA) have shown promise in addressing these challenges, stability issues are least addressed. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Overall, the study shows that the UHDS8 algorithm produces better results compared to the FUHS16 and UHDS16 algorithm. …”
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Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction
Published 2013“…In this regard, genetic algorithm generates different initial conditions of premise parameters to and the best one. …”
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Easy to use remote sensing and GIS analysis for landslide risk assessment
Published 2018“…The study evaluated various parameters that are responsible for landslide occurrence and the weighting for each parameter and its importance to probable of landslide activity. …”
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Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The Pi controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. …”
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A novel computer-aided multivariate water quality index
Published 2015“…Unlike other conventional indexing methods, the algorithm calculates the index in a multivariate manner. …”
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…Thus, in this thesis, a new Smart Energy Meter (SEM) with adaptive data transfer algorithm is designed to accommodate the problem. …”
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Thesis -
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Particle swarm optimization-based model-free adaptive control for time-varying batch processes
Published 2024“…Further, considering that the adopted model-free adaptive control involves seven control parameters, such as cognitive scaling factor (φ1), social scaling factor (φ2), inertia weight (φ3), learning rate (η), control parameter update rate, exploration rate and learning rate for MFAC obtained by a particle swarm optimization (PSO) algorithm in combination with a criterion function performance index. …”
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Adaptive Neuro-Controller for three axes attitude control of innovative satellite
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