Výsledky vyhľadávania - adaptive and self-organizing algorithm

LED-Based Adaptive Algorithm: A Novel Integration of Logit and Exponential Decay for Self-Organizing Sequential Search Problem

Autori: null Baisakh Bishnu Prasad Swain Nileshkumar Patel a ďalší

Zdroj: 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC). :961-965

Adaptive SpikeDeep-classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting

Autori: Muhammad Saif-ur-Rehman Omair Ali Christian Klaes a ďalší

Zdroj: Neurocomputing. 655:131370

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, I.2.6, Quantitative Biology - Neurons and Cognition, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Biological sciences, I.2.8, Neurons and Cognition (q-bio.NC), Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2304.01355

Soft Sensor Modeling of Self-Organizing Interval Type-2 Fuzzy Neural Network Based on Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm

Autori: Panchao Wang Taoyan Zhao Jiangtao Cao a ďalší

Zdroj: International Journal of Fuzzy Systems. 26:1716-1729

An Adaptive Self-Organizing Migration Algorithm for Parameter Optimization of Wavelet Transformation

Autori: Zijian Cao Haowen Jia Tao Zhao a ďalší

Zdroj: Mathematical Problems in Engineering. 2022:1-14

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

Prístupová URL adresa: https://downloads.hindawi.com/journals/mpe/2022/6289215.pdf

Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control

Autori: Adam Viktorin Michal Pluhacek Tomas Kadavy a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1916-1922

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/gecco/gecco2021c.html#KadavyPVS21a
https://dl.acm.org/doi/pdf/10.1145/3449726.3463212

Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm.

Autori: Meng, Niu

Zdroj: PLoS ONE; 8/11/2025, Vol. 20 Issue 8, p1-16, 16p

Predmety: TEXTILE printing, TEXTILE industry, COMPUTER vision, CLUSTERING algorithms, SELF-organizing maps, IMAGE processing, ANALYSIS of colors

Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting

Autori: Saif-ur-Rehman, Muhammad Ali, Omair Klaes, Christian a ďalší

Témy: Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Information Theory, Computer Science - Machine Learning, I.2.8, I.2.6, text

URL: http://arxiv.org/abs/2304.01355

Soft Sensor Modeling of Self-Organizing Interval Type-2 Fuzzy Neural Network Based on Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm.

Autori: Wang, Panchao Zhao, Taoyan Cao, Jiangtao a ďalší

Zdroj: International Journal of Fuzzy Systems. Jul2024, Vol. 26 Issue 5, p1716-1729. 14p.

Predmety: Particle swarm optimization, Fuzzy neural networks, Water purification, Wastewater treatment

Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm

Autori: Tomas Kadavy Roman Senkerik Adam Viktorin a ďalší

Zdroj: 2019 IEEE Congress on Evolutionary Computation (CEC). :2908-2914

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://publikace.k.utb.cz/handle/10563/1009106
https://dblp.uni-trier.de/db/conf/cec/cec2019.html#KadavyPSV19a

Self-Organizing Migrating Algorithm Team To Team Adaptive – SOMA T3A

Autori: Quoc Bao Diep

Zdroj: 2019 IEEE Congress on Evolutionary Computation (CEC). :1182-1187

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/cec/cec2019.html#Diep19

Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems.

Autori: Alfadli, Nawaf Mijbel Oun, Eman Mostafa Mohamed, Ali Wagdy

Zdroj: Algorithms. Jul2025, Vol. 18 Issue 7, p398. 64p.

Predmety: *METAHEURISTIC algorithms, *MATHEMATICAL optimization, *PARAMETERIZATION, *SELF-organizing systems, *HEURISTIC

Adaptive learning algorithm based price prediction model for auction lots—deep clustering based interval quoting

Autori: Da Ke Xianhua Fan Muhammad Asif

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 10, p e2412 (2024)

Predmety: Interval price prediction, Adaptive learning algorithm, Electronic computers. Computer science, Dual clustering, Adaptive and Self-Organizing Systems, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, LSTM, FCM algorithm

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39650378
https://doaj.org/article/59b9e4318f20413884401ead2d9b0606

Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm

Autori: Qi Guo Rui Li Changjiang Zheng a ďalší

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2611 (2025)

Predmety: Ant colony optimization, Electronic computers. Computer science, Low carbon, Adaptive and Self-Organizing Systems, GNN, QA75.5-76.95, Path planning

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40062237
https://doaj.org/article/e48cb7c15ec9405fa9bfe0d2df42030e

Two novel self-adaptive projection algorithms for split feasibility problems with multiple output sets.

Autori: Thang, Tran Van

Zdroj: Computational & Applied Mathematics; Dec2025, Vol. 44 Issue 8, p1-17, 17p

Predmety: HILBERT space, VARIATIONAL inequalities (Mathematics), NUMERICAL analysis, SELF-organizing systems, ALGORITHMS

Real-time classifier based on adaptive competitive self-organizing algorithm

Autori: Hossein Sarafraz Zahra Sarafraz Mohammad R. Sayeh

Zdroj: Adaptive Behavior. 26:21-31

Predmety: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Adaptive SOM-GA Hybrid Algorithm for Grasping Sequence Optimization in Apple Harvesting Robots: Enhancing Efficiency in Open-Field Orchards.

Autori: Zhang, Li He, Zhihui Zhu, Haobin a ďalší

Zdroj: Agronomy. May2025, Vol. 15 Issue 5, p1230. 23p.

Predmety: *APPLE harvesting, *TRAVELING salesman problem, *SELF-organizing maps, *AGRICULTURE, *ROBOT design & construction

Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control

Autori: Kadavý, Tomáš Pluháček, Michal Viktorin, Adam a ďalší

Témy: CEC 2021, clustering, k-means, SOMA, conferenceObject

URL: http://publikace.k.utb.cz/handle/10563/1010468
https://dl.acm.org/doi/10.1145/3449726.3463212
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
https://dl.acm.org/doi/10.1145/3449726.3463212

An R-adaptive algorithm based on self-organizing maps for solving incompressible flows with high-order discontinuous Galerkin methods

Autori: Wei An Jian Yu Hongqiang Lyu a ďalší

Zdroj: Computers & Fluids. 270:106160

Image edge detection using butterfly-optimized adaptive resonance neural model.

Autori: Jansirani, M. Sumitra, P.

Zdroj: Multimedia Tools & Applications; Oct2025, Vol. 84 Issue 34, p43077-43100, 24p

Predmety: EDGE detection (Image processing), IMAGE processing, STATISTICAL accuracy, OPTIMIZATION algorithms, SELF-organizing systems, COMPUTER vision, ARTIFICIAL neural networks

An Adaptive Learning Algorithm Based on Spiking Neural Network for Global Optimization.

Autori: Wang, Rui-Xuan Chen, Yu-Xuan

Zdroj: Symmetry (20738994). Nov2025, Vol. 17 Issue 11, p1814. 17p.

Predmety: *GLOBAL optimization, *MULTI-objective optimization, *MACHINE learning, *SYMMETRY, *ARTIFICIAL neural networks, *SYNAPSES, *THRESHOLDING algorithms