Suchergebnisse - (automatic OR automatizace) 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

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)

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

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

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: Control engineering systems. Automatic machinery (General), TJ212-225, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0020-2940

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

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

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

Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

Autoren: Amjad J. Humaidi Huda T Najem Ayad Q. Al-Dujaili et al.

Quelle: Measurement + Control, Vol 54 (2021)

Schlagwörter: MATLAB, Artificial intelligence, 0209 industrial biotechnology, Robot, Robustness (evolution), Control (management), 3-Revolute-Revolute-Revolute robot, Type-2 Fuzzy Sets, 02 engineering and technology, Biochemistry, Gene, Engineering, Interval Type-2 Fuzzy Logic, Artificial Intelligence, Fuzzy Rule-Based Systems, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, T1FL controller, T1-995, Type-2 Fuzzy Logic Systems and Applications, Swarm Intelligence Optimization Algorithms, Fuzzy Logic Systems, Technology (General), Interval Type-2 FLC, Control engineering systems. Automatic machinery (General), Control engineering, Revolute joint, Computer science, Fuzzy logic, Algorithm, Chemistry, Operating system, Fuzzy control system, Particle Swarm Optimization, TJ212-225, Application of Genetic Programming in Machine Learning, Social Spider Optimization (SSO), Computer Science, Physical Sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.sagepub.com/doi/pdf/10.1177/0020294021997483
https://doaj.org/article/972d3abdae3d43899b860c03f9103144
https://journals.sagepub.com/doi/full/10.1177/0020294021997483
https://journals.sagepub.com/doi/pdf/10.1177/0020294021997483
http://journals.sagepub.com/doi/10.1177/0020294021997483

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis

Autoren: Bo Peng Shuting Wan Ying Bi et al.

Quelle: IEEE Transactions on Cybernetics. 51:4909-4923

Schlagwörter: Equipment Failure Analysis, Artificial Intelligence and Image Processing, Applied Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Artificial Intelligence & Image Processing, 02 engineering and technology, Electrical and Electronic Engineering, Vibration, Algorithms

Zugangs-URL: https://figshare.com/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/1/files/26429357.pdf
https://openaccess.wgtn.ac.nz/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/files/26429357.pdf
https://pubmed.ncbi.nlm.nih.gov/33237874
https://www.ncbi.nlm.nih.gov/pubmed/33237874
https://ieeexplore.ieee.org/document/9271873/
https://europepmc.org/article/MED/33237874
https://dblp.uni-trier.de/db/journals/tcyb/tcyb51.html#PengWBXZ21
https://pubmed.ncbi.nlm.nih.gov/33237874/
https://openaccess.wgtn.ac.nz/articles/journal_contribution/Automatic_Feature_Extraction_and_Construction_Using_Genetic_Programming_for_Rotating_Machinery_Fault_Diagnosis/13884914/1

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.

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

Static video summarization based on genetic algorithm and deep learning approach.

Autoren: Benoughidene, Abdelhalim Titouna, Faiza Boughida, Adil

Quelle: Multimedia Tools & Applications; Apr2025, Vol. 84 Issue 13, p12487-12512, 26p

Schlagwörter: MACHINE learning, VIDEO summarization, INFORMATION technology, INFORMATION storage & retrieval systems, ARTIFICIAL intelligence

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: Yang, Xukang Jiang, Anqi Jiang, Wanlu et al.

Quelle: Machines; Jun2024, Vol. 12 Issue 6, p368, 21p

Schlagwörter: CONVOLUTIONAL neural networks, DEEP learning, DIMENSIONAL reduction algorithms, FAULT diagnosis, FEATURE extraction, VECTOR data, SERVOMECHANISMS, WAVELET transforms

An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models.

Autoren: Lessani, M. Naser Li, Zhenlong Deng, Jiqiu et al.

Quelle: Geo-Spatial Information Science; Apr2025, Vol. 28 Issue 2, p761-779, 19p

Schlagwörter: PARALLEL algorithms, GEOGRAPHICAL positions, COMPUTER engineering, DATA visualization, ALGORITHMS

Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring.

Autoren: Liu, Yuekai Yu, Yaoxiang Guo, Liang et al.

Quelle: IEEE Transactions on Industrial Electronics; Sep2022, Vol. 69 Issue 9, p9483-9493, 11p

Schlagwörter: GENETIC algorithms, DEEP learning, MILLING cutters, SURFACE texture, ARCHITECTURAL design, EDGE computing

Research on comprehensive optimisation of AGVs scheduling at intelligent express distribution centres based on improved GA.

Autoren: Tian, Shuaihui Huangfu, Chengyang Deng, Xueping

Quelle: Journal of the Operational Research Society; Oct2024, Vol. 75 Issue 10, p1875-1892, 18p

Schlagwörter: GENETIC algorithms, AUTOMATED planning & scheduling, AUTOMATED guided vehicle systems, PRODUCTION scheduling, ENTROPY

Multi-Objective Optimization Technology for Building Energy-Saving Renovation Strategy based on Genetic Algorithm.

Autoren: Shuibo Deng Lei Lv

Quelle: Decision Making: Applications in Management & Engineering (DMAME); Oct2024, Vol. 7 Issue 2, p275-293, 19p

Schlagwörter: CLUSTERING algorithms, SUSTAINABLE development, ENERGY consumption, MULTI-objective optimization, CARBON emissions, POLYNOMIAL operators, ECOLOGICAL impact, BUILDING repair, POWER resources

Design of nonlinear control system for motion trajectory of industrial handling robot.

Autoren: Zhao, Haoming Zhang, Xinling

Quelle: Advanced Control for Applications; Jun2024, Vol. 6 Issue 2, p1-15, 15p

Schlagwörter: INDUSTRIAL robots, AUTOMATIC machinery, LAGRANGE equations, ANGULAR acceleration, TORQUE

An Optimal Design Methodology for the Trajectory of Hydraulic Excavators Based on Genetic Algorithm.

Autoren: Yuasa, Takamichi Ishikawa, Masato Ogawa, Satoshi

Quelle: Journal of Robotics & Mechatronics; Dec2021, Vol. 33 Issue 6, p1248-1254, 7p

Schlagwörter: GENETIC algorithms, EXCAVATING machinery, GEOMETRIC modeling, LABOR costs, REMOTE control, HYDRAULIC models

GenCNN: A Partition-Aware Multi-Objective Mapping Framework for CNN Accelerators Based on Genetic Algorithm.

Autoren: YUDONG MU ZHIHUA FAN WENMING LI et al.

Quelle: ACM Transactions on Architecture & Code Optimization; Sep2025, Vol. 22 Issue 3, p1-26, 26p