Results 61 to 70 of about 52,378 (250)

Self-tuning run-time reconfigurable PID controller [PDF]

, 2011
Digital PID control algorithm is one of the most commonly used algorithms in the control systems area. This algorithm is very well known, it is simple, easily implementable in the computer control systems and most of all its operation is very predictable.
Pelc, Mariusz
core   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Optimization of Neuro-Fuzzy System [PDF]

ITB Journal of Information and Communication Technology, 2007
Neuro-fuzzy system has been shown to provide a good performance on chromosome classification but does not offer a simple method to obtain the accurate parameter values required to yield the best recognition rate. This paper presents a neuro-fuzzy system where its parameters can be automatically adjusted using genetic algorithms.
M. Sarosa, A.S. Ahmad, B. Riyanto, A.S. Noer   +3 more
openaire   +2 more sources

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

AN INTELLIGENT NEURO-FUZZY TERMINAL SLIDING MODE CONTROL METHOD WITH APPLICATION TO ATOMIC FORCE MICROSCOPE

International Islamic University Malaysia Engineering Journal, 2016
In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed.
Seied Yasser Nikoo, Behrooz Rezaie, Zahra Rahmani, Seied Jalil Sadati   +3 more
doaj   +1 more source

Data-driven Soft Sensors in the Process Industry [PDF]

, 2009
In the last two decades Soft Sensors established themselves as a valuable alternative to the traditional means for the acquisition of critical process variables, process monitoring and other tasks which are related to process control.
Abdi, Alhoniemi, Angelov, Angelov, Angelov, Arazo-Bravo, Atkeson, Bastin, Bauer, Bishop, Bogdan Gabrys, Bonne, Breiman, Bro, Casali, Chen, Chen, Chen, Chen, Chen, Choi, Chruy, Davies, Dayal, De Wolf, Desai, Devogelaere, Ding, Dong, Dong, Dote, Doyle, Dunia, Dunia, Dunia, Eriksson, Fellner, Fortuna, Fortuna, Frank, Freund, Funahashi, Gabrielsson, Gabrys, Gabrys, Gabrys, Gabrys, Gama, Geladi, Gomez, Gonzalez, Gonzalez, Goodwin, Gosset, Guyon, Han, Hastie, He, Hodge, Hotelling, Jackson, James, Jang, Jiang, Jolliffe, Jordaan, Jos de Assis, Kadlec, Kadlec, Kalos, Kampjarvi, Kittler, Kohavi, Kohonen, Kordon, Kourti, Kourti, Krogh, Kuncheva, Lee, Lee, Lee, Lee, Li, Li, Lin, Lin, Luo, Macias, Mandic, Marjanovic, Meleiro, Menold, Nauck, Neogi, Nomikos, Nomikos, Nomikos, Opitz, Park, Pearson, Pearson, Petr Kadlec, Poggio, Prasad, Principe, Qin, Qin, Qin, Qin, Radhakrishnan, Rnnar, Rong, Rotem, Ruta, Ruta, Schafer, Scheffer, Serneels, Sibylle Strandt, Stanimirova, Su, Tzanakou, van Sprang, van Sprang, Vapnik, Venkatasubramanian, Venkatasubramanian, Venkatasubramanian, Vilalta, Walczak, Walczak, Walczak, Wang, Wang, Wang, Wang, Warne, Weiss, Widmer, Wold, Wold, Wold, Wolpert, Yan, Yang, Zadeh, Zamprogna, Zamprogna, Zhang   +149 more
core   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

FUZZY INFERENCE NEURAL NETWORKS WITH FUZZY PARAMETERS

TASK Quarterly, 2003
This paper concerns fuzzy neural networks and fuzzy inference neural networks, which are two different approaches to neuro-fuzzy combinations. The former is a direct fuzzification of artificial neural networks by introducing fuzzy signals and fuzzy ...
DANUTA RUTKOWSKA, YOICHI HAYASHI
doaj  

AN APPLICATION FOR MONITORING AND DIAGNOSIS THE HEALTH OF A HUMAN SUBJECT [PDF]

Romanian Journal of Petroleum & Gas Technology, 2020
The paper presents an application developed for monitoring the health of a human subject, respectively for monitoring a set of critical medical parameters (blood glucose, cholesterol, blood pressure, pulse and oxygen saturation) while the diagnosis is ...
Madalina Carbureanu, Petrus Bratu
doaj  

A neuro-fuzzy monitoring system. Application to flexible production systems.

, 2006
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neuro-fuzzy technics seems very promising.
Palluat, Nicolas, Racoceanu, Daniel, Zerhouni, Noureddine   +2 more
core   +4 more sources