Sobolev trained neural network surrogate models for optimization

Particle Swarm Optimization Trained Neural Network for Aquifer Parameter Estimation

Numerical simulation in aquifers require knowledge of parameters that govern flow through aquifers, however, at times, these parameters are not available. Estimation of such parameters has thus gained importance in the recent years and researchers have suggested various ways by which these parameters can be obtained. Amongst the various methods used for parameter estimation, Artificial Neural N...

Load Flow Analysis Using Particle Swarm Optimization Trained Neural Network

A new method of load flow analysis of a power system using Particle Swarm Optimization (PSO) trained neural network is proposed in this paper. Load Flow Analysis is the first and foremost step in power system analysis. It is necessary to solve load flow problem for Power System Planning, Contingency analysis, and Stability analysis. The results obtained from the load flow analysis are Voltage m...

Knowledge Extraction from Trained Neural Network Scour Models

Calibration of an Inertial Accelerometer using Trained Neural Network by Levenberg-Marquardt Algorithm for Vehicle Navigation

The designing of advanced driver assistance systems and autonomous vehicles needs measurement of dynamical variations of vehicle, such as acceleration, velocity and yaw rate. Designed adaptive controllers to control lateral and longitudinal vehicle dynamics are based on the measured variables. Inertial MEMS-based sensors have some benefits including low price and low consumption that make them ...

Learning surrogate models for simulation-based optimization

We address a central problem in modeling, namely that of learning an algebraic model from data obtained from simulations or experiments. We propose a methodology that uses a small number of simulations or experiments to learn models that are as accurate and as simple as possible. The approach begins by building a low-complexity surrogate model. The model is built using a best subset technique t...