Results 21 to 30 of about 57,781 (308)

Application of Gray Wolf Optimization Algorithm on Synchronous Processing of Sample Equalization and Feature Selection in Credit Evaluation [PDF]

Jisuanji kexue, 2022
With the rapid development of Internet finance industry, traditional credit risk evaluation is facing challenges in the face of massive data.Due to the unbalanced sample categories and high feature redundancy in credit evaluation, it has become the key ...
CHU An-qi, DING Zhi-jun
doaj   +1 more source

Improved gray wolf optimization algorithm for solving low-carbon transportation scheduling problem in open-pit mines

Gong-kuang zidonghua, 2020
In order to solve the problem of low-carbon transportation scheduling in open-pit mines, the mathematical model is established by taking the mining volume, crushing volume of crushing stations and the number of trucks as constraints and taking the ...
MEN Fei, JIANG Xi
doaj   +1 more source

PID Control Model Based on Back Propagation Neural Network Optimized by Adversarial Learning-Based Grey Wolf Optimization

Applied Sciences, 2023
In processes of industrial production, the online adaptive tuning method of proportional-integral-differential (PID) parameters using a neural network is found to be more appropriate than a conventional controller with PID for controlling different ...
Huaiqin Liu, Qinghe Yu, Qu Wu
doaj   +1 more source

Research on Optimization of GWO-BP Model for Cloud Server Load Prediction

IEEE Access, 2021
To improve the accuracy of cloud server resource load prediction, particle swarm optimization (PSO) algorithm, gray wolf optimization (GWO) algorithm and BP neural network are studied in-depth and applied.
Ke Hou, Mingcheng Guo, Xinhao Li, He Zhang   +3 more
doaj   +1 more source

Yarn unevenness prediction using generalized regression neural network under various optimization algorithms

Journal of Engineered Fibers and Fabrics, 2022
Unevenness is one of the important parameters for evaluating yarn quality, but the current prediction accuracy of yarn unevenness is low. One of the important reasons is that there are few sample dataset for yarn unevenness prediction.
Hao Jiang, Jiuxiang Song, Baowei Zhang, Yonghua Wang   +3 more
doaj   +1 more source

Triangular Position Multi-Bolt Layout Structure Optimization

Applied Sciences, 2023
Stress concentration often occurs around bolt holes in load-bearing joint structures of large complex equipment, ships, aerospace and other complex machinery fields, which is an important mechanical factor leading to the failure of joint structures.
Xiaohan Lu, Min Zhu, Yilong Liu, Shengao Wang, Zijian Xu, Shengnan Li   +5 more
doaj   +1 more source

Gray Wolf optimization method for automatic ventilation systems of clean accessories [PDF]

, 2018
У роботі розглядається можливість оптимізації систем автоматичного регулювання технологічних параметрів неперервних процесів. Проведено огляд сучасних пошукових алгоритмів оптимізації, подібних до роботи біологічних та фізичних об’єктів і структур ...
Піргач, Юлія Сергіївна, Степанець, Олександр Васильович   +1 more
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Research on Optimization of Improved Gray Wolf Optimization-Extreme Learning Machine Algorithm in Vehicle Route Planning

Discrete Dynamics in Nature and Society, 2020
With the rapid development of intelligent transportation, intelligent algorithms and path planning have become effective methods to relieve traffic pressure.
Shijin Li, Fucai Wang
doaj   +1 more source

Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity

Energy Reports, 2023
The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits.
Ping Li, Henan Dong, Guanfeng Zhang, Xue Bai, Xin Zhao   +4 more
doaj   +1 more source

Coverage, Continuity and Visual Cortical Architecture [PDF]

, 2011
The primary visual cortex of many mammals contains a continuous representation of visual space, with a roughly repetitive aperiodic map of orientation preferences superimposed.
A Antonini, A Cimponeriu, A Das, A Grabska-Barwinska, A Grinvald, A Newell, A Turing, AA Koulakov, B Chapman, BJ Farley, BS Wang, C Beaulieu, C Blakemore, C Chiu, C von der Malsburg, CE Giacomantonio, CE Giacomantonio, DH Hubel, DH Hubel, DJ Field, DL Applegate, DL Ringach, DN Spinelli, DR Muir, E Bartfeld, E Erwin, E Erwin, F Hoffsümmer, F Wolf, F Wolf, F Wolf, F Wolf, F Wolf, F Wörgötter, G Blasdel, GG Blasdel, GG Blasdel, GJ Goodhill, GJ Goodhill, GJ Goodhill, GJ Goodhill, H Ritter, H Ritter, H Simpson, H Yu, H Yu, HC Lee, HU Bauer, HY Lee, JC Crowley, JC Horton, JC Horton, JH Kaas, JO Kriegs, JO Kriegs, JR Wible, JS Lund, K Kang, K Obermayer, K Obermayer, K Obermayer, K Obermayer, K Ohki, K Pawelzik, K Rose, KD Miller, L Reichl, L Reichl, L Reichl, LE White, LE White, M Abramowitz, M Huang, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Schnabel, M Schnabel, M Schnabel, M Stetter, MA Carreira-Perpiñán, MA Carreira-Perpiñán, MA Carreira-Perpiñán, MC Cross, MC Cross, N Mayer, N Mermin, NM Mayer, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, OR Bininda-Emonds, P Berkes, P Buzas, P Dayan, P Manneville, PA Hetherington, PC Bressloff, PC Bressloff, PJ Thomas, PJ Thomas, R Durbin, R Durbin, R Durbin, R Linsker, R Linsker, S Schuett, S Tanaka, S Wimbauer, SDV Hooser, T Bonhoeffer, T Bonhoeffer, T Hensch, T Kohonen, T Kohonen, UA Ernst, V Braitenberg, W Keil, WH Bosking, WH Bosking, Y Frégnac, Y Frégnac, Z Kielian-Jaworowsk   +129 more
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