Exploring the influential factors of residents' attitudes toward implementing green infrastructures for stormwater management in the US
Although green infrastructures (GIs) have been gaining increasing popularity, their
widespread adoption in the US has been limited. To encourage wider implementation …
widespread adoption in the US has been limited. To encourage wider implementation …
Heuristic computing with active set method for the nonlinear Rabinovich–Fabrikant model
The current study shows a reliable stochastic computing heuristic approach for solving the
nonlinear Rabinovich-Fabrikant model. This nonlinear model contains three ordinary …
nonlinear Rabinovich-Fabrikant model. This nonlinear model contains three ordinary …
Bionic artificial Neural networks in medical image analysis
S Wang, H Chen, Y Zhang - Biomimetics, 2023 - mdpi.com
Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN)[1] that
draw inspiration from the biological neural networks in living organisms, such as the brain …
draw inspiration from the biological neural networks in living organisms, such as the brain …
An artificial neural network approach to characterizing the behavior of bioconvective nanofluid model using backpropagation of Levenberg–Marquardt algorithm
The study of the behavior of bioconvective nanofluid model (BC-NFM) was explored using
bioconvection properties in the computational analysis of magnetized nanofluid flow that …
bioconvection properties in the computational analysis of magnetized nanofluid flow that …
Numerical solution of coupled system of Emden-Fowler equations using artificial neural network technique
In this paper, a deep artificial neural network technique is proposed to solve the coupled
system of Emden-Fowler equations. A vectorized form of algorithm is developed …
system of Emden-Fowler equations. A vectorized form of algorithm is developed …
[HTML][HTML] Predicting the solution of fractional order differential equations with Artificial Neural Network
The present paper aims to propose an approximation method of Caputo fractional operator
using discretization based on quadrature theory to minimize the error function for an Artificial …
using discretization based on quadrature theory to minimize the error function for an Artificial …
Approximation schemes for a quadratic type generalized isoperimetric constraint fractional variational problems
In this paper, three numerical schemes are formulated for generalized isoperimetric
constraint fractional variational problems (GICFVPs) described using the generalized …
constraint fractional variational problems (GICFVPs) described using the generalized …
Multilayered neural network for power series‐based approximation of fractional delay differential equations
This paper trains a multilayered neural network (MLNN) for solving fractional delay
differential equations (FDDEs), including nonlinear and singular types. The proposed …
differential equations (FDDEs), including nonlinear and singular types. The proposed …
[PDF][PDF] Artificial neural network with the Levenberg-Marquardt algorithm for numerical solution of two-dimension Poisson's equation
AK Thander, D Bhowmik - BOHR International Journal of Smart …, 2023 - academia.edu
This study introduces an Artificial Neural Network (ANN) framework to address the two-
dimensional Poisson's equation within a rectangular domain. It places a focus on the …
dimensional Poisson's equation within a rectangular domain. It places a focus on the …
Unsupervised ANN model for solving fractional differential equations
AK Sahoo, S Chakraverty - Computation and Modeling for Fractional Order …, 2024 - Elsevier
In this chapter, a neural network model for solving fractional differential equations is
described. This model is based on approximating the solution by using power series …
described. This model is based on approximating the solution by using power series …