IEEE

Stochastic approximation algorithm for the identification of linear multivariable systems

Abstract: A stochastic approximation algorithm is presented for on-line identification of linear, multivariable, discrete-time systems from noisy data without prior knowledge of the statistics of ...
GitHub

Amaan002/House-Price-Prediction-using-Multivariable-Linear-Regression

Simple House Price Prediction Model Using Linear Regression: This project implements a multivariable linear regression model to predict house prices based on various features such as square footage, ...
Scientific Research Publishing

Powell, M.J.D. (1987) Radial Basis Functions for Multivariable Interpolation: A Review. In: Mason, J.C. and Cox, M.G., Eds., Algorithms for Approximation, Carendon Press ...

ABSTRACT: Subsidence in a deformation area can be measured in various ways, examples being conventional high-precision leveling, differential InSAR and multi-temporal GPS surveys. Integration of ...
Scientific Research Publishing

Powell, M.J.D. (1987) Radial Basis Functions for Multivariable Interpolation: A Review. In: Mason, J.C. and Cox, M.G., Eds., Algorithms for Approximation, Clarendon Press ...

ABSTRACT: Sensitivity analysis of neural networks to input variation is an important research area as it goes some way to addressing the criticisms of their black-box behaviour. Such analysis of RBFNs ...