Results 141 to 150 of about 10,821 (279)

A generalized chaotic neural network model for epilepsy using Soboleva hyperbolic tangent functions [PDF]

This work studies a generalized version of a chaotic neural network model for epilepsy. The model consists of several activation functions that are coupled to simulate the neuronal stimulation.
Lawnik, Marcin, Fragulis, George F., Moysis, Lazaros, Choumpaev, Alexandra   +3 more
core   +1 more source

The Two Extremal Rays of Some Hyper–Kähler Fourfolds

Mathematische Nachrichten, EarlyView.
ABSTRACT We consider projective Hyper–Kähler manifolds of dimension 4 that are deformation equivalent to Hilbert squares of K3 surfaces. In case such a manifold admits a divisorial contraction, the exceptional divisor is a conic bundle over a K3 surface. A classification of lattice embeddings implies that there are five types of such conic bundles.
Federica Galluzzi, Bert van Geemen
wiley   +1 more source

Visibility and Intersection Density for Boolean Models in Hyperbolic Space

Mathematische Nachrichten, EarlyView.
ABSTRACT For Poisson particle processes in hyperbolic space we introduce and study concepts analogous to the intersection density and the mean visible volume, which were originally considered in the analysis of Boolean models in Euclidean space. In particular, we determine a necessary and sufficient condition for the finiteness of the mean visible ...
Tillmann Bühler, Daniel Hug, Christoph Thäle   +2 more
wiley   +1 more source

Sundman‐Like Transformations and the NRT Nonlinear Schrödinger Equation

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We present a new generalization of the well‐known power‐type Sundman transformation, involving not only powers of the function but also of its derivative, along with its inverse. Our aim is to explore the use of such transformations in the derivation of solutions of ordinary differential equations and in the study of their properties.
P. R. Gordoa, A. Pickering, D. Puertas‐Centeno, E. V. Toranzo   +3 more
wiley   +1 more source

Kernel Adaptive Filtering Algorithm Based on Hyperbolic Tangent Mixed Error Function [PDF]

This paper proposes an adaptive filtering algorithm based on the symmetry Kernel Hyperbolic Tangent Mixed Error Criterion (KHTMC), aimed at addressing the identification of nonlinear systems under non-Gaussian noise environments.
Yongbing Hu, Chenchong Bi, Yong Chen
core   +1 more source

Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks

Macromolecular Reaction Engineering, EarlyView.
PCINNs are able to reach high levels of predictive performance utilizing imperfect kinetic models and a relatively small dataset, with reliable extrapolation at reaction temperatures significantly beyond the range of the original dataset. ABSTRACT Kinetic models are essential tools for providing a fundamental understanding of polymerization processes ...
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asua   +2 more
wiley   +1 more source

A Comparative Study on RNN-LSTM-GRU Ensemble Model for Short-Term Wind Speed Prediction

IEEE Open Journal of the Industrial Electronics Society
Precise forecasting of wind speed is essential for the efficient operation of wind power systems and the optimal planning of power grid generation. This study seeks to simplify the process of predicting short-term wind speeds, a crucial step for planning
Sathyaraj J, Sankardoss V
doaj   +1 more source

Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo, Sonny Irawan, Mohd Zulkifli Bin Mohamad Noor, Mudasar Zafar, Shynar Juziyeva, Camila Martins Saporetti, Leonardo Goliatt, Randy Hazlett   +7 more
wiley   +1 more source

Multivariate Perturbed Hyperbolic Tangent-Activated Singular Integral Approximation [PDF]

Here we study the quantitative multivariate approximation of perturbed hyperbolic tangent-activated singular integral operators to the unit operator. The engaged neural network activation function is both parametrized and deformed, and the related kernel
George A. Anastassiou
core   +1 more source

Modelling of size recovery curves for minerals in teeter bed separator for processing iron ore fines

South African Journal of Chemical Engineering
Teeter bed separator has gained significant importance and appeared as a viable option for beneficiation of high alumina and low iron content Indian iron ore fines.
Biswakant Pradhan, Ipsita Dipamitra Behera, Satyabrata Mohanta, Bhim Charan Meikap   +3 more
doaj   +1 more source