This project demonstrates how to implement polynomial regression using Python and scikit-learn. The code generates synthetic data, fits a polynomial regression model, evaluates the model's performance ...

The objective here is to implement the concepts of regression learnt in class via polynomial curve fitting. To recap, polynomial curve fitting is an example of regression. In regression, the objective ...

Abstract: In this paper, the signal processing by using polynomial neural network (NN) and its equivalent polynomial function is studied and simulated. To demonstrate the superiority of the equivalent ...

Abstract: This paper is concerned with obtaining the inverse of polynomial functions using semidefinite programming (SDP). Given a polynomial function and a nominal point at which the Jacobian of the ...

Alpha functions usually aim at predicting the thermodynamic properties of specific compounds in a limited range of reduced temperatures. The differences between polynomial alpha functions are mainly ...

Organized electricity markets often require submission of supply functions ahead of the realization of uncertain demand. As a model of oligopoly behavior, the Nash condition of supply function ...