Results 181 to 190 of about 1,590,381 (357)

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Global optimization in arcwise connected metric spaces

, 1984
Reiner Horst
openalex   +1 more source

Towards a global optimization scheme for multi-band speech recognition [PDF]

, 1999
Christophe Cerisara, Jean-Paul Haton, Dominique Fohr   +2 more
openalex   +1 more source

Review of the application of dual‐energy CT combined with radiomics in the diagnosis and analysis of lung cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Lung cancer is one of the most common malignant tumors in the world. Early detection and precise treatment are of great significance to clinical decision‐making and patient prognosis. As an emerging imaging technology, dual‐energy computed tomography (DECT) has increasingly prominent advantages in multi‐parameter and quantitative analysis in ...
Rongyu Zhang, Hao Zheng, Jie Lin, Junna Wang   +3 more
wiley   +1 more source

Passivity-Based Local Design Conditions for Global Optimality in Distributed Convex Optimization [PDF]

arXiv
In recent times, various distributed optimization algorithms have been proposed for whose specific agent dynamics global optimality and convergence is proven. However, there exist no general conditions for the design of such algorithms. In this paper, we leverage passivity theory to fi rst establish a distributed optimization framework with local ...
arxiv  

Effects of cardiac motion on dose distribution during stereotactic arrhythmia radioablation treatment: A simulation and phantom study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Cardiac motion may degrade dose distribution during stereotactic arrhythmia radioablation using the CyberKnife system, a robotic radiosurgery system. This study evaluated the dose distribution changes using a self‐made cardiac dynamic platform that mimics cardiac motion. Methods The cardiac dynamic platform was operated with amplitudes
Takayuki Miyachi, Takeshi Kamomae, Fumitaka Kawabata, Kuniyasu Okudaira, Mariko Kawamura, Shunichi Ishihara, Shinji Naganawa   +6 more
wiley   +1 more source

Global Convergence Properties of Conjugate Gradient Methods for Optimization

, 1992
Jean Charles Gilbert, Jorge Nocedal
openalex   +2 more sources

A preprocessing step for global loop transformations for data transfer optimization [PDF]

, 2000
Koen Danckaert, Francky Catthoor, Hugo De Man   +2 more
openalex   +1 more source

JACMP 2015 – 2019

Journal of Applied Clinical Medical Physics, EarlyView.
Per. H. Halvorsen
wiley   +1 more source

Expert panel on monitoring radiation doses from recurrent medical diagnostic procedures: Sixth Gilbert W. Beebe Webinar

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Recurrent imaging is an essential tool for patient care but with an attendant dose from radiation exposure. Recurrent imaging has been the subject of increasing scrutiny and debate based largely on the risk from increasing cumulative doses. However, the accountability for and actions with recurrent imaging as a special component in the general
Donald P. Frush, Armin Ansari, James A. Brink, Ourania Kosti, David B. Larson, Martha S. Linet, Mahadevappa Mahesh, Ioannis Sechopoulos, Jenia Vassileva   +8 more
wiley   +1 more source