Results 81 to 90 of about 39,793 (262)
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
Journal of Forecasting, EarlyView.ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
Health Preferences and Sorting in the City
Health Economics, EarlyView.ABSTRACT There are large health inequalities between neighborhoods in many cities of the world. This paper studies individuals' sorting based on health amenities and exposes an important connection between health preferences and the housing market. I estimate a neighborhood choice model using geolocated data from a health survey in New York City and ...
Manuela Puente‐Beccar
wiley +1 more source
Harvest increase and culling as tools for managing chronic wasting disease in white‐tailed deer
The Journal of Wildlife Management, EarlyView.We used an agent‐based model to simulate the effect of CWD management on a white‐tailed deer population in northwest Indiana and northeast Illinois. Our results suggest that wildlife managers should reconsider how and if they should manage CWD. Abstract Chronic wasting disease (CWD), a transmissible spongiform encephalopathy that affects white‐tailed ...
Jonathan D. Brooks +3 more
wiley +1 more source
Continual Learning With Quasi-Newton Methods
IEEE AccessCatastrophic forgetting remains a major challenge when neural networks learn tasks sequentially. Elastic Weight Consolidation (EWC) attempts to address this problem by introducing a Bayesian-inspired regularization loss to preserve knowledge of ...
Steven Vander Eeckt, Hugo Van Hamme
doaj +1 more source
Fatigue Life Prediction of Coiled Tubing Based on Optimized BP Neural Network
Shiyou jixie, 2023 When the standard BP neural network is used to predict the fatigue life of coiled tubing,local minimum is easily fallen into and training time is too long.To solve these problems,the momental gradient descent method,quasi-Newton algorithm and one-step ...
Dou Yihua +4 more
doaj
Macromolecular Rapid Communications, EarlyView.This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Geometrically nonlinear static analysis of materially imperfect composite doubly curved shells is investigated via the generalised differential quadrature method. The effects of both shear and thickness deformation are considered through a thickness‐ and shear‐deformable third‐order theory formulated in curvilinear coordinates, while the ...
Behrouz Karami +3 more
wiley +1 more source
Forward Kinematics Analysis of 2RUS/RRS Parallel Mechanism
Jixie chuandong, 2018 The iterative search method（ Newton or Quasi-Newton） is an important numerical method for solving the forward kinematics（ FK） problem of parallel mechanisms. Due to the extremely displacement singularity in the limbs,the search space is easy to be out of
Geng Mingchao +3 more
doaj
Mathematical and Computational ApplicationsThis paper presents a comprehensive study on the formulation and solution of the power flow problem in bipolar direct current (DC) distribution networks with unbalanced constant power loads.
Oscar Danilo Montoya +4 more
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