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3083
Influence of College Teacher’s Instructional Design on the Development of College Students’ Thinking of Innovation Multi-Algorithms Perspective Analysis
Published 2024-01-01“…Through the use of conventional datasets, this integrated multi-algorithmic system’s dependability is illustrated. …”
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3084
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3085
Strong Convergence of an Inertial Iterative Algorithm for Generalized Mixed Variational-like Inequality Problem and Bregman Relatively Nonexpansive Mapping in Reflexive Banach Space
Published 2021-01-01“…We study the strong convergence for the proposed algorithm. Finally, we list some consequences and computational examples to emphasize the efficiency and relevancy of the main result.…”
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3086
Features Extraction of Flotation Froth Images and BP Neural Network Soft-Sensor Model of Concentrate Grade Optimized by Shuffled Cuckoo Searching Algorithm
Published 2014-01-01“…Finally, a shuffled cuckoo search algorithm is adopted to optimize the BP neural network soft-sensor model. …”
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3087
Multiobjective Optimization of Yokeless Axial-Field Flux-Switching Permanent Magnet Motor Using the Hybrid Taguchi Genetic Algorithm for Expanded Speed Range
Published 2024-01-01“…This paper proposes a multiobjective hybrid Taguchi genetic algorithm (HTGA) to optimize the speed range of a yokeless axial-field flux-switching permanent magnet (YASA-AFFSPM) motor. …”
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3088
Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study
Published 2018-01-01“…Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. The proposed framework comprises a data interface, a Big Data management, analytic engine as well as the applications, and display module. …”
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3089
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3090
Active Thermometry Based DS18B20 Temperature Sensor Network for Offshore Pipeline Scour Monitoring Using -Means Clustering Algorithm
Published 2013-06-01“…Based on these two features, K -means clustering algorithm is adopted for pattern classification of the system, which was implemented in MATLAB and facilitated the automatic detection of the scour monitoring sensor network system. …”
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3091
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3092
Investigating the Working Efficiency of Typical Work in High-Altitude Alpine Metal Mining Areas Based on a SeqGAN-GABP Mixed Algorithm
Published 2021-01-01“…Third, a model based on the sequence generative adversarial network genetic algorithm backpropagation (SeqGAN-GABP) hybrid algorithm was established to predict the trends in the operating efficiency of typical work types in high-altitude alpine metal mining areas. …”
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3093
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3094
Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms
Published 2018-01-01“…Optimum design of braced steel space frames including soil-structure interaction is studied by using harmony search (HS) and teaching-learning-based optimization (TLBO) algorithms. A three-parameter elastic foundation model is used to incorporate the soil-structure interaction effect. …”
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3095
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3097
The Value of Preemptive Pick-Up Services in Dynamic Vehicle Routing for Last-Mile Delivery: Space-Time Network-Based Formulation and Solution Algorithms
Published 2022-01-01“…To provide a fast value approximation, we present a solution framework deploying the augmented Lagrangian relaxation approach with embedded dynamic programming algorithms. This framework jointly integrates the processes of updating request information and obtaining optimal routes. …”
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3098
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3099
Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm
Published 2014-04-01Subjects: Get full text
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3100
Improved Grey Particle Swarm Optimization and New Luus-Jaakola Hybrid Algorithm Optimized IMC-PID Controller for Diverse Wing Vibration Systems
Published 2019-01-01“…To solve this problem, a novel optimization technique, called GNPSO is proposed based on the hybridization of improved grey particle swarm optimization (GPSO) and new Luus-Jaakola algorithm (NLJ). The original GPSO is modified by using small population size/iteration number, employing new grey analysis rule and designing new updating formula of acceleration coefficients. …”
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