Feed-forward neural networks has been used in many areas, but still with limited generalization and slow convergence. This research uses the simple form of the feed-forward neural networks, the ...

To solve both linear quadratic regulation and tracking problems for continuous-time systems with unknown value functions, this article develops a discounted inverse reinforcement learning (DIRL) ...

A general algorithm to solve linear and nonlinear inverse problems, based on recursive neural networks, is discussed in this work. The procedure will be applied to physical chemical problems modeled ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour.

GCSE Edexcel Solving linear equations - Edexcel Function machines Forming, using and solving equations are skills needed in many different situations.

This repository contains Python implementations for solving systems of linear equations, finding the inverse of a matrix, and performing matrix decompositions. The following methods are included: ...

Thanks to the inclusion of easy to use support functions for linear inverse modeling of metabolic networks, {samplelim} can be viewed as an updated, extended and low-level-encoded version of the R ...