Results 31 to 40 of about 8,000 (250)

Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting [PDF]

Advances in Engineering and Intelligence Systems
Accurate forecasting of electricity consumption is crucial for refined planning and improved transmission and distribution efficiency. Power consumption data, being nonstationary and nonlinear, is significantly affected by factors such as seasons and ...
Dhivagar Shanmugam, V Ramana
doaj   +1 more source

DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

, 2020
We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent moves in an environment and is
Jaunet, Theo, Vuillemot, Romain, Wolf, Christian   +2 more
core   +3 more sources

Metaheuristic design of feedforward neural networks: a review of two decades of research [PDF]

, 2017
Over the past two decades, the feedforward neural network (FNN) optimization has been a key interest among the researchers and practitioners of multiple disciplines.
Abbass, Abraham, Ackley, Ajith Abraham, Akhand, Alba, Ali Ahmadi, Almeida, Alvarez, Amari, Andersen, Angeline, Arifovic, Augusteijn, Azimi-Sadjadi, Bakker, Baranyi, Battiti, Bertsekas, Bishop, Bland, Bousquet, Boussaid, Breiman, Brownlee, Carvalho, Chandra, Charalambous, Chen, Chen, Chen, Chen, Cho, Chrisley, Coello, Cortes, Costa, Cruz-Ramírez, Cybenko, Da, da Silva, Dai, Das, Das, Davis, de Albuquerque Teixeira, Deneubourg, Dhahri, Diebold, Ding, Ditzler, Dominey, Donate, Dorigo, Dumont, Engel, Fahlman, Feo, FernandezCaballero, Fister, Fletcher, Fogel, Fogel, Fontanari, Formato, Frean, Fukumizu, Fullér, Furtuna, Garcia-Pedrajas, García-Pedrajas, García-Pedrajas, Gaspar-Cunha, Geem, Geman, Gershenfeld, Ghalambaz, Girosi, Giustolisi, Glover, Goh, Goldberg, Gori, Gorin, Green, Grossberg, Hagan, Hansen, Haykin, Haykin, Hernández, Hestenes, Hinton, Hinton, Hinton, Hirose, Ho, Holland, Hopfield, Hornik, Hornik, Huang, Huang, Huang, Huang, Huang, Igel, Ilonen, Irani, Irani, Islam, Jacobs, Jain, Jain, Jin, Juang, Kaelbling, Karaboga, Karpat, Kennedy, Khan, Khan, Kim, Kim, Kim, Kim, Kiranyaz, Kirkpatrick, Kitano, Kitano, Kohonen, Kolmogorov, Kordík, Kouda, Koza, Kulluk, Kŭrková, Lam, Larrañaga, LeCun, Lera, Leshno, Leung, Leung, Lewenstein, Li, Lin, Lin, Ling, Lippmann, Liu, Liu, Lowe, Ludermir, Mahdavi, Maniezzo, March, Marquardt, Martínez-Muñoz, Mazurowski, McCulloch, Menczer, Merrill, Metropolis, Minku, Minsky, Mirjalili, Mirjalili, Mitra, Mjolsness, Mladenović, Moriarty, Murray, Nakama, Nandy, Narayanan, Natschläger, Nedjah, Niranjan, Niu, Nolfi, Oh, Ojha, Osman, Pan, Passino, Pearce, Pencina, Peng, Pettersson, Pipino, Polikar, Prechelt, Prisecaru, Puig, Rashedi, Reed, Ritchie, Rosenblatt, Rumelhart, Rumelhart, Saad, Salajegheh, Sarkar, Schaffer, Schapire, Schmidhuber, Schwefel, Sejnowski, Selmic, Sexton, Sexton, Sexton, Shang, Sharma, Sietsma, Simovici, Sivagaminathan, Slowik, Socha, Socha, Sokolova, Sporea, Stanley, Storn, Sum, Sörensen, Tang, Tayefeh Mahmoudi, Toh, Tong, Trelea, Trentin, Tsai, Tsai, Tsoulos, Twomey, Ulagammai, Van den Bergh, van der Voet, Varun Kumar Ojha, Venkadesh, Ventura, Vieira, Václav Snášel, Wand, Wang, Wessels, Weyland, Whitley, Widrow, Wiegand, Wilson, Wolpert, Wolpert, Xi-Zhao, Yaghini, Yang, Yang, Yao, Yao, Yao, Yao, Yao, Yao, Yao, Ye, Yin, Yusiong, Zhang, Zhang, Zhang, Zhang, Zhang, Zhao, Zhou, Zhou, Zikopoulos, Zăvoianu, Černỳ   +279 more
core   +2 more sources

PRACTICAL AND THEORETICAL ASPECTS OF MATHEMATICAL MODELING OF THE OPTIMIZATION PROCESS OF MANAGING MULTIGROUP BEHAVIOR OF AGENTS IN DISTRIBUTED SYSTEMS BASED ON THE GWO ALGORITHM

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
This work focused on the applied aspects and features of the gray wolf pack optimizer or the GWO algorithm in the context of application in multi-agent distributed systems.
Bohdan Skrypka, Dmytro Yelchaninov
doaj   +1 more source

A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer

, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Abbas, Dosti K., Rashid, Tarik A., Turel, Yalin K.   +2 more
core   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Optimal distributed decision in wireless sensor network using gray wolf optimization

IAES International Journal of Artificial Intelligence (IJ-AI), 2020
<p class="Default">The distributed object decision (DOD) was applied to choose a single solution for problem among many complexes solutions. Most of DOD systems depend on traditional technique like small form factor optical (SFFO) method and scalable and oriented fast-based local features (SOFF) method.
Ibrahim Ahmed Saleh, Omar Ibrahim Alsaif, Maan A. Yahya   +2 more
openaire   +1 more source

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

, 2017
Despite rapid advances in face recognition, there remains a clear gap between the performance of still image-based face recognition and video-based face recognition, due to the vast difference in visual quality between the domains and the difficulty of ...
Chandraker, Manmohan, Liu, Sifei, Sohn, Kihyuk, Yang, Ming-Hsuan, Yu, Xiang, Zhong, Guangyu   +5 more
core   +1 more source

Continuous Integration/ Continuous Delivery Optimization on Network Automation using Gray Wolf Optimizer

Sistemasi: Jurnal Sistem Informasi, 2022
Continuous Integration/ Continuous Delivery is the latest method used in network automation. In-network programming has helped network admins a lot in managing all their devices.
Ronald Adrian, Anni Karimatul Fauziyyah, Sahirul Alam   +2 more
doaj   +1 more source

Optimizing a Multi-Layer Perceptron Based on an Improved Gray Wolf Algorithm to Identify Plant Diseases

Mathematics, 2023
Metaheuristic optimization algorithms play a crucial role in optimization problems. However, the traditional identification methods have the following problems: (1) difficulties in nonlinear data processing; (2) high error rates caused by local ...
Chunguang Bi, Qiaoyun Tian, He Chen, Xianqiu Meng, Huan Wang, Wei Liu, Jianhua Jiang   +6 more
doaj   +1 more source