Results 31 to 40 of about 575,797 (295)

Improving approximation by switching between two error functions

Croatian Operational Research Review, 2017
The key to designing a LED luminaire is the choice of secondary optics. The design process can be improved using analytical models and optimization tools. A modified approximation error (evaluation function) is introduced in the standard analytical model
David Kaljun, Janez Žerovnik
doaj   +1 more source

Dimensional Error Compensation Based on Data-Driven Sliding Mode Terminal Iterative Learning Control for CNC Batch Grinding

Applied Sciences, 2023
Dimensional error of workpiece is an important index that indicts the grinding accuracy of machine tools. Conventional error compensation strategies focus on modeling one or several error factors for a particular CNC machining type, which are time ...
Tiantian Chen, Xincheng Tian
doaj   +1 more source

Individual differences in reward-prediction-error: extraversion and feedback-related negativity

, 2010
Medial frontal scalp-recorded negativity occurring ∼200–300 ms post-stimulus [known as feedback-related negativity (FRN)] is attenuated following unpredicted reward and potentiated following unpredicted non-reward.
Smillie, Luke D., Alan D. Pickering, Luke D. Smillie, Andrew J. Cooper, Cooper, Andrew, Pickering, Alan   +5 more
core   +1 more source

Improved Method for Distributed Parameter Model of Solenoid Valve Based on Kriging Basis Function Predictive Identification Program

Actuators, 2021
In this paper, a method for the improvement of the calculation accuracy of the distributed parameter model (DPM) of electromagnetic devices is proposed based on the kriging basis function predictive identification program (PIP).
Jiaxin You, Kun Zhang, Huimin Liang, Xiangdong Feng, Yonggang Ruan   +4 more
doaj   +1 more source

Estimating Soil Water Retention Curve by Extreme Learning Machine, Radial Basis Function, M5 Tree and Modified Group Method of Data Handling Approaches

, 2022
This study was conducted to assess the applicability of novel types of neural network methods (extreme learning machine (ELM), radial basis function (RBF), modified group method of data handling (M-GMDH)) and M5 tree methods for the prediction of the ...
Bayat, H., M. Rastgou, M. Mansoorizadeh, Mansoorizadeh, M., H. Bayat, A. S. Gregory, Gregory, A. S., Rastgou, M.   +7 more
core   +1 more source

Inverse material identification in coupled acoustic-structure interaction using a modified error in constitutive equation functional [PDF]

Computational Mechanics, 2014
This work focuses on the identification of heterogeneous linear elastic moduli in the context of frequency-domain, coupled acoustic-structure interaction (ASI), using either solid displacement or fluid pressure measurement data. The approach postulates the inverse problem as an optimization problem where the solution is obtained by minimizing a ...
Warner, James E., Diaz, Manuel I., Aquino, Wilkins, Bonnet, Marc   +3 more
openaire   +3 more sources

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

New Accurate Approximation for Average Error Probability

IEEE Access, 2021
This paper proposes new accurate approximations for average error probability (AEP) of a communication system employing either M-phase-shift keying (PSK) or differential quaternary PSK with Gray coding (GC-DQPSK) modulation schemes over generalized ...
Yassine Mouchtak, Faissal El Bouanani
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Radial basis function neural network learning with modified backpropagation algorithm [PDF]

, 2014
Radial Basis Function Neural Network (RBFNN) is a class of Artificial Neural Network (ANN) widely used in science and engineering for classification problems with Backpropagation (BP) algorithm.
Tukur, Usman Muhammad
core