Remarkably, the beliefpropagationalgorithm can still be run for such apparently self-referential questions, and not just to predict disease spread. Unfortunately, the answers it provides aren't correct and can often be wrong by a large margin—particularly for realistic-looking structures. "In our ...
eviction-algorithm Algorithm used to determine when to start evicting entries. eviction-action Action triggered by the eviction-algorithm decision. eviction-maximum-value If the eviction-algorithm is based on the number of entries, this value is the maximum number of entries. If the eviction-algorith...
11 A structure module predicts values for the rigid-body block-based structure building method: translation and rotation of backbone rigid-body blocks consisting of N, Cα, and C atoms and torsion angles to place the remaining atoms of residues (Methods S1, and Algorithm S3). The model was ...
set up, and calibrated to describe groundwater flow in a karst aquifer by combining field surveys, 3-D implicit geological modeling, and an iterative model calibration method to reasonably consider hydraulically relevant karst conduits in the model. The paper describes the principal approach and its ...
Since these masks directly calibrate the model following the random parameter search algorithm, described in Section 2.3, we require them to be as precise as possible: consequently, we set a threshold of 0.2. Note that lower thresholds than this are excluded, as the Snow Detection algorithm of ...
Studies from Harbin Institute of Technology Describe New Findings in Technology (A Backpropagation Neural Network-based Hybrid Energy Recognition and Management System)HarbinPeople’s Republic of ChinaAsiaTechnologyNetworksNeural NetworksHarbin Institute of Technology...
Based on the experimental results, constitutive equations and an artificial neural network (ANN) model with a back-propagation learning algorithm were developed for the description and prediction of the hot compressive behavior of 28CrMnMoV steel. Then a comparative evaluation of the constitutive ...
The more incubation time also led to an increase in biofilm formation. Eventually, the Feed-Forward, Back-Propagation Neural Network model with the Levenberg-Marquardt training algorithm and 4-12-1 topology was chosen (R-value = 0.995 and validation MSE = 0.011467). This ANN had high modeling...
Six ANN models, each corresponding to a nonlinear metric, were trained using the Levenberg–Marquardt backpropagation algorithm and compared with MLR models. Performance was assessed based on the mean squared error (MSE) and correlation coefficients. ANN models outperformed MLR, with DFA and Lyapunov...
The rapid processing is actualized with several fundamental technologies [32,33,34,35] used for actual applications. 2.4. Face Detection We used the face detection algorithm proposed by Viola et al. [36] to detect a driver’s face from images obtained using an inside camera. As a method to...