Suchergebnisse - (automatic OR automatische) machinery learning algorithm based on genetic algorithms

Research on Efficiency Improvement Technology of Wide Range Centrifugal Pump Based on Genetic Algorithm and Internal Flow Loss Diagnosis.

Autoren: Liu, Zhenbo Ji, Leilei Pu, Wei et al.

Quelle: Water (20734441); Dec2024, Vol. 16 Issue 23, p3402, 28p

Schlagwörter: PRODUCTION losses, ROTATING machinery, GENETIC algorithms, CENTRIFUGAL pumps, ROTATIONAL motion, MECHANICAL energy

Abnormal Detection and Fault Diagnosis of Adjustment Hydraulic Servomotor Based on Genetic Algorithm to Optimize Support Vector Data Description with Negative Samples and One-Dimensional Convolutional Neural Network

Autoren: Xukang Yang Anqi Jiang Wanlu Jiang et al.

Quelle: Machines, Vol 12, Iss 6, p 368 (2024)

Schlagwörter: adjustment hydraulic servomotor, fault detection, fault diagnosis, genetic algorithm, support vector data description, one-dimensional convolutional neural networks, Mechanical engineering and machinery, TJ1-1570

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-1702/12/6/368; https://doaj.org/toc/2075-1702

Zugangs-URL: https://doaj.org/article/53c2c28d089542728eefe2d4c29e2835

Physics‐Based Human‐in‐the‐Loop Machine Learning Combined with Genetic Algorithm Search for Multicriteria Optimization: Electrochemical CO2 Reduction Reaction

Autoren: Naohiro Fujinuma Samuel E. Lofland

Quelle: Advanced Intelligent Systems, Vol 5, Iss 5, Pp n/a-n/a (2023)

Schlagwörter: carbon dioxide reduction reaction, correlation analyses, genetic algorithms, machine learning, SHapley Additive exPlanations, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/a276dc412fe24f4085557a914382bc89

Multi-Voyage Path Planning for River Crab Aquaculture Feeding Boats.

Autoren: Sun, Yueping Guo, Peixuan Wang, Yantong et al.

Quelle: Fishes (MDPI AG). Aug2025, Vol. 10 Issue 8, p420. 27p.

Schlagwörter: *GENETIC algorithms, *REINFORCEMENT learning, *FRESHWATER crabs, *ROBOTIC path planning, *MATHEMATICAL optimization, *MARICULTURE, *OBSTACLE avoidance (Robotics)

Genetic algorithm based active fault-tolerant control system for air fuel ratio control of internal combustion engines

Autoren: Muhammad Sajid Iqbal Arslan Ahmed Amin

Quelle: Measurement + Control, Vol 55 (2022)

Schlagwörter: MATLAB, Artificial intelligence, 0209 industrial biotechnology, Control (management), 02 engineering and technology, Process Fault Detection and Diagnosis in Industries, Redundancy (engineering), Automotive engineering, Quantum mechanics, 7. Clean energy, Reliability engineering, Fault (geology), Internal Combustion Engines, Engineering, Fault Isolation, Actuator, Machine learning, Control theory (sociology), T1-995, Constraint Handling, Technology (General), FOS: Chemical engineering, Seismology, Fluid Flow and Transfer Processes, Control engineering systems. Automatic machinery (General), Chemical Kinetics of Combustion Processes, Control engineering, Physics, Fault tolerance, Observer (physics), Geology, FOS: Earth and related environmental sciences, Chemical Engineering, Fault Detection, Internal combustion engine, Computer science, Operating system, Model Predictive Control in Industrial Processes, Genetic algorithm, Control and Systems Engineering, 13. Climate action, TJ212-225, Electrical engineering, Physical Sciences, Fault detection and isolation, Robust Control

Zugangs-URL: https://doaj.org/article/a221c489f2b74ebd81630adbd298e0bb

A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm

Autoren: Bilal Turan Taisuke Masuda Lei Wu et al.

Quelle: ROBOMECH Journal, Vol 5, Iss 1, Pp 1-9 (2018)

Schlagwörter: Technology, Artificial intelligence, Support vector machine, Industrial engineering. Management engineering, Microfluidics, 02 engineering and technology, Histogram of Oriented Gradients features, Biochemistry, Metastasis, Automation, Engineering, TJ1-1570, Nanotechnology, Mechanical engineering and machinery, TJ227-240, Paper-Based Microfluidics, Microfluidic Devices, Cell counting, Cancer, Life Sciences, Comprehensive Integration of Single-Cell Transcriptomic Data, T58.5-58.64, Algorithm, Chemistry, TJ212-225, Physical Sciences, Paper-Based Diagnostic Devices, 0210 nano-technology, Biomedical engineering, B-cells, Biomedical Engineering, Information technology, T55.4-60.8, Microfluidic Techniques for Particle Manipulation and Separation, Cell cycle, FOS: Medical engineering, Lab-on-a-Chip, Biochemistry, Genetics and Molecular Biology, Machine learning, Genetics, Image (mathematics), T1-995, Machine design and drawing, Molecular Biology, Biology, Technology (General), FOS: Nanotechnology, Histogram, Control engineering systems. Automatic machinery (General), T-cells, Circulating tumor cell, Computer science, Materials science, T59.5, Microfluidic chip, Biological system, FOS: Biological sciences, Cell

Zugangs-URL: https://robomechjournal.springeropen.com/track/pdf/10.1186/s40648-018-0124-8
https://doaj.org/article/743f31083b254b22819d5237f0e861e0
https://robomechjournal.springeropen.com/articles/10.1186/s40648-018-0124-8
https://link.springer.com/article/10.1186/s40648-018-0124-8
https://link.springer.com/content/pdf/10.1186/s40648-018-0124-8.pdf

A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing

Autoren: Peng Zhang Mengyu Jin Ming Wang et al.

Quelle: Measurement + Control, Vol 58 (2025)

Schlagwörter: 0209 industrial biotechnology, Control engineering systems. Automatic machinery (General), TJ212-225, 0211 other engineering and technologies, T1-995, 02 engineering and technology, Technology (General)

Zugangs-URL: https://doaj.org/article/3035953ce3c7462bbe79970cb38ea0e8

Intelligent Monitoring System for Deep Foundation Pit Based on Digital Twin.

Autoren: Pan, Peng Sun, Shuo-Hui Feng, Jie-Xun et al.

Quelle: Buildings (2075-5309); Feb2025, Vol. 15 Issue 3, p366, 24p

Schlagwörter: BUILDING foundations, OPTIMIZATION algorithms, BORED piles, ELASTIC modulus, DIGITAL twin

基于遗传算法优化 Canny 算子的织绣文物纹样抽取方法研究. (Chinese)

Alternate Title: Research on the extraction method of woven and embroidered artifacts' patterns based on genetic algorithm optimization of Canny operator. (English)

Autoren: 张 宇 张 健 齐 林

Quelle: Journal of Silk; 2024, Vol. 61 Issue 6, p1-12, 12p

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Autoren: Wei (Wayne) Chen Rachel Sun Doksoo Lee et al.

Quelle: Advanced Intelligent Systems, Vol 7, Iss 6, Pp n/a-n/a (2025)

Schlagwörter: functional responses, generative design, interpretable machine learning, inverse design, metamaterials, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/167af797d8594616b2f3a967e86667b0

Comprehensive Planning of Laboratory Equipment Based on Genetic Algorithms.

Autoren: Mi, Tiantian

Quelle: Computational Intelligence & Neuroscience; 9/12/2022, p1-11, 11p

Schlagwörter: LABORATORY equipment & supplies, POLYNOMIAL time algorithms, ALGORITHMS, HEURISTIC algorithms, COMBINATORIAL optimization, GENETIC algorithms

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

Autoren: Jini Mol G. Ajith Bosco Raj T.

Quelle: Automatika, Vol 66, Iss 1, Pp 79-90 (2025)

Schlagwörter: 1D-CNN, genetic algorithm (GA), optimized GRU (OGRU), SMOTE-ENN, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

Zugangs-URL: https://doaj.org/article/f0ca2a0189ee4810b9f4232cda2a060a

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms.

Autoren: Zhou, Chen Liu, Xinhui Xu, Feixiang

Quelle: Algorithms; Feb2018, Vol. 11 Issue 2, p22, 13p

Schlagwörter: GENETIC algorithms, STEERING gear, OFF-road vehicles, EVOLUTIONARY algorithms, LEARNING classifier systems

Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction

Autoren: DAI Bowang ZHAO Xianggui ZHU Qiliang

Quelle: Kongzhi Yu Xinxi Jishu, Vol 36, Pp 44-49 (2019)

Schlagwörter: photovoltaic power generation, maximum power point tracking, combination prediction, genetic algorithm, neural networks, support vector machine, extreme learning machine, Control engineering systems. Automatic machinery (General), TJ212-225, Technology

Dateibeschreibung: electronic resource

Relation: http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.009; https://doaj.org/toc/2096-5427

Zugangs-URL: https://doaj.org/article/f61d244560f74a2f9fc281a657d03854

Prediction of Stem Cell State Using Cell Image‐Based Deep Learning

Autoren: Minjae Kim Yong Namkung Donghun Hyun et al.

Quelle: Advanced Intelligent Systems, Vol 5, Iss 7, Pp n/a-n/a (2023)

Schlagwörter: cell culture, cell morphology, convolutional neural networks, deep learning, prediction, stem cells, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/d5345520286e4fccb2ef003283444480

Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling

Autoren: Rodion Novkin Hussam Amrouch

Quelle: Advanced Intelligent Systems, Vol 7, Iss 10, Pp n/a-n/a (2025)

Schlagwörter: circuit simulation, design technology co‐optimization, machine learning, neural network, transistor compact model, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2640-4567

Zugangs-URL: https://doaj.org/article/edeea3d843ea467a8358720f7a8c905c

A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems.

Autoren: Zhou, Yi

Quelle: Security & Communication Networks; 4/23/2022, p1-7, 7p

Schlagwörter: ANT algorithms, MANUFACTURING processes, INTELLIGENT control systems, ALGORITHMS, ADAPTIVE control systems, PREDICTIVE control systems, GENETIC algorithms, PID controllers

Obtaining and Characterization of Nutraceuticals Based on Linoleic Acid Derivatives Obtained by Green Synthesis and Their Valorization in the Food Industry.

Autoren: Dehelean, Cristina Adriana Boru, Casiana Macașoi, Ioana Gabriela et al.

Quelle: Nutrients. Aug2025, Vol. 17 Issue 15, p2416. 72p.

Hyperparameter Optimization for Deep Learning-based Automatic Melanoma Diagnosis System

Autoren: Takashi Nagaoka

Quelle: Advanced Biomedical Engineering. 2020, 9:225

An intelligent fault identification method of rolling bearings based on SVM optimized by improved GWO

Autoren: Haisong Huang Qingsong Fan Jianan Wei et al.

Quelle: Systems Science & Control Engineering, Vol 7, Iss 1, Pp 289-303 (2019)

Schlagwörter: Improved grey wolf optimization algorithm, support vector machine, parameter optimization, bearing fault diagnosis, Control engineering systems. Automatic machinery (General), TJ212-225, Systems engineering, TA168

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2164-2583

Zugangs-URL: https://doaj.org/article/6d208fd2421344f69807289cf9a8eced