بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a learning » _ learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a learning » _ learning (توسيع البحث)
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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4
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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conferenceObject -
7
Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem
منشور في 1998"…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …"
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A discrete-time learning control algorithm
منشور في 1994"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
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conferenceObject -
10
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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Artificial neural network algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
12
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
منشور في 2012"…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …"
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A stochastic iterative learning control algorithm with application to an induction motor
منشور في 2004"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
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Discrete-time learning control algorithm for a class of nonlinear systems
منشور في 1995"…Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. …"
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conferenceObject -
16
Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The network can then predict the solution of the problem for a varying range of parameters. The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. …"
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Unsupervised machine learning is a powerful technique for performing clustering, which involves identifying patterns or similarities within a dataset and grouping them into distinct clusters or subgroups. …"
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masterThesis -
19
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
منشور في 2024"…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …"
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