The breaking elongation of rotor-spun yarns has been predicted by using linear regression, artificial neural network and neuro-fuzzy models. Cotton fibre properties measured by high volume instrument and yarn count have been used as inputs to the prediction models. Prediction accuracy is found to ...
In the field of tribology, many studies now use machine learning (ML). However, ML models have not yet been used to evaluate the relationship between the friction coefficient and the elemental distribution of a tribofilm formed from multiple lubricant ad
For this purpose, we applied Multiple Linear Regression (MLR) models against a forecasting model based on Artificial Neural Network (ANN) approach. The availability of basic meteorological parameters is of great importance in order to forecast the ozone's concentration levels. Modelling was based on...
In this paper we consider two recurrent neural network model for solving linear and quadratic programming problems. The first model is derived from an unconstraint minimization reformulation of the program. The second model directly is obtained of optimality condition for an optimization problem. By ...
Anyama, Oscar Uzoma, Igiri, Chinwe PeaceESRSA Publications
Previous studies indicate that neural networks greatly outperform linear models, while the accuracy of the results produced by neural networks are very similar to that of algorithmic models. Moreover, neural networks can extrapolate to some degree when enough training data are provided. However, ...
This paper provides a novel perspective to embed neural network (data-driven model) in optimization model (analytical model). The new-style model is then formulated and solved by a hybrid method with dual neural network and successive linear programming. Here, one of the neural network is built...
In this paper, the non-linear mathematical models of drum-boiler turbine unit and once-through boiler unit are given. Analysis of the conventional boiler feed-forward control system and based on the thought that dynamic energy and static energy separation, the boiler BP neural network PID control...
This paper presents a Web-based control laboratory of a non-linear and unstable system: the ball and beam plant. Different control strategies, apart from the traditional PID, as Robust, Fuzzy and PD-Reset Control have been taken to give ... M Guinaldo,H Vargas,J Sánchez,... - 《Ifac...
Neural network approach to firm grip in the presence of small slips linear complementarity problemThis paper presents a two stage method for constructing a firm grip that can tolerate small slips of the fingertips. The ... AF Nuseirat,R Abu-Zitar - 《Journal of Robotic Systems》 被引量: ...