PROJECT TITLE :

Online Optimization of Fuzzy Controller for Coke-Oven Combustion Process Based on Dynamic Just-in-Time Learning

ABSTRACT:

To ensure the control performance of a fuzzy management system for the combustion process in a very coke oven, the parameters of the fuzzy controller would like to be optimized therefore that the controller can handle large changes in the operating state of the oven. This paper describes an online optimization method for this purpose. During this technique, the gap and angle of the trend of the change are used to pick out knowledge, and just-in-time learning is used to form a dynamic sample base and to build a radial-basis-operate neural-network model of the process. A variable-universe fuzzy logic controller controls the method, and an adaptive differential evolution algorithm optimizes the universe parameters. This enables the controller to adapt to changes in the operating state in a very timely fashion. Simulation results demonstrate the effectiveness of the strategy.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Classification of Online Toxic Comments Using Machine Learning Algorithms ABSTRACT: Toxic comments are online remarks that are insulting, abusive, or inappropriate, and frequently cause other users to quit a
PROJECT TITLE : Reviewer Credibility and Sentiment Analysis Based User Profile Modelling for Online Product Recommendation ABSTRACT: Even for humans, deciphering user buying preferences, likes and dislikes is a difficult undertaking,
PROJECT TITLE : Active Learning From Imbalanced Data A Solution of Online Weighted Extreme Learning Machine ABSTRACT: Active learning is well known for its ability to improve the quality of a classification model while also reducing
PROJECT TITLE : Online ADMM-based Extreme Learning Machine for Sparse Supervised Learning ABSTRACT: In the field of machine learning, sparse learning is a useful strategy for selecting features and avoiding overfitting. An online
PROJECT TITLE : Online Subspace Learning from Gradient Orientations for Robust Image Alignment ABSTRACT: Robust and effective picture alignment remains a difficult task due to the size and complexity of images as well as fluctuations

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry