Search Results - (( program normalization techniques algorithm ) OR ( java application tree algorithm ))
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
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Solving non-convex economic dispatch problem using computational intelligence technique
Published 2023“…Computer programming; Immune system; Scheduling; Artificial Immune System; Computational intelligence techniques; Economic Dispatch; Evolutionary programming algorithms; Log-normal; Non-convex economic dispatches; Reliability test system; Valve-point loading effect; Electric load dispatching…”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Published 2023“…Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatching…”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Multi -Objective Economic Dispatch Using Evolutionary Programming
Published 2023“…This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). …”
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Mining Sequential Patterns using I-PrefixSpan
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Agent-based extraction algorithm for computational problem solving
Published 2015“…Various CPS techniques have been proposed such as PAC, IPO, Flowchart and Algorithm. …”
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Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO
Published 2013“…The simulations results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit. …”
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Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing
Published 2008“…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Highest response ratio next (HRRN) vs first come first served (FCFS) scheduling algorithm in grid environment
Published 2011“…A good scheduling algorithm normally shows lower value of total waiting and schedule time. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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