بدائل البحث:
algorithm within » algorithm its (توسيع البحث)
using function » using fusion (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm within » algorithm its (توسيع البحث)
using function » using fusion (توسيع البحث)
a function » _ functional (توسيع البحث)
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A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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2
New enumeration algorithm for regular boolean functions
منشور في 2018"…This paper introduces a new algorithm for enumerating regular Boolean functions. …"
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conferenceObject -
3
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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4
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
منشور في 2023"…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…"
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Iterative Least Squares Functional Networks Classifier
منشور في 2007"…The performance of this new intelligent systems scheme is demonstrated and examined using real-world applications. A comparative study with the most common classification algorithms in both machine learning and statistics communities is carried out. …"
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Learning continuous functions using decision tree learning algorithms
منشور في 2001احصل على النص الكامل
masterThesis -
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Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
منشور في 2024"…After reaching warfarin maintenance dose, the dose was recalculated using the GWD and median absolute error (MAE) and the percentage of warfarin doses within 20% of the actual dose were calculated and compared for the two algorithms. …"
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
منشور في 2023"…Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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11
Mobile robots obstacles avoidance using dynamic window approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
12
A Stochastic Newton-Raphson Method with Noisy Function Measurements
منشور في 2016"…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …"
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13
Computational evluation of protein energy functions
منشور في 2014"…Proteins are organic compounds made up of chains of amino acids that fold into complex 3-dimensional structures based on their chemical and physical properties. A protein is characterized by its 3D structure, which defines its biological function. …"
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conferenceObject -
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Radial basis function networks for contingency analysis of bulkpower systems
منشور في 1999"…Radial basis function networks (RBFNs) are used for contingency evaluation of bulk power system. …"
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18
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
منشور في 2023"…<p dir="ltr">The problem of formation tracking control for a group of quadcopters with nonlinear dynamics using Barrier Lyapunov Functions (BLFs) is studied in this paper where the quadcopters are following a desired predefined trajectory in a predefined formation shape. …"
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Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
منشور في 2022"…The constructed Ls-AOA algorithm was then proposed to design a proportional-integral-derivative (PID) controller employed in a functional electrical stimulation (FES) system for the first time. …"
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Evolution Of Activation Functions for Neural Architecture Search
منشور في 2020"…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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masterThesis