بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
fe algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements fe » elements _ (توسيع البحث), elementi per (توسيع البحث)
implementing » implemented (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
fe algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements fe » elements _ (توسيع البحث), elementi per (توسيع البحث)
implementing » implemented (توسيع البحث)
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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. …"
احصل على النص الكامل
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3
Fuzzy simulated evolution algorithm for VLSI cell placement
منشور في 2003احصل على النص الكامل
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A parallel tabu search algorithm for VLSI standard-cell placement
منشور في 2000"…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …"
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6
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Performance driven standard-cell placement using the geneticalgorithm
منشور في 1995"…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. …"
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LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …"
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …"
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …"
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احصل على النص الكامل
احصل على النص الكامل
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer
منشور في 2023"…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …"
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17
Artificial neural network algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
منشور في 2025"…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …"
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Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis