Intelligent Modeling and Verification

Intelligent Modeling and Verification

Artificial Intelligent Modeling and Optimizing of an Industrial Hydrocracker Plant

The main objective of this study is the modelling and optimization of an industrial Hydrocracker Unit (HU) by means of Adaptive Neuro Fuzzy Inference System (ANFIS) model. In this case, some data were collected from an industrial hydrocracker plant. Inputs of an ANFIS include flow rate of fresh feed and recycle hydrogen, temperature of reactors, mole percentage of H2 and H2S, feed flow rate and...

Modeling and verification

0740-7475/98/$10.00 © 1998 IEEE 45 EVER-INCREASING EMBEDDED-SYSTEM design complexity combined with a very tight time-to-market window has revolutionized the embedded-system design process. The concurrent design of hardware and software has displaced traditional sequential design. Further, hardware and software design now begins before the system architecture (or even the specification) is final...

Modeling of Riyadh Sewage Treatment Plant: 1-Model Development, Verification and Simulation

In Saudi Arabia, the Riyadh Sewage Treatment Plant (RSTP) uses the activated sludge technology as the secondary treatment process for sewage. Due to the complex nature of the process, a rather simplified, yet practical, steady state model that captures the most important features of the RSTP was developed. Actual operating and design conditions were obtained from RSTP data bank. The monthly ave...

Intelligent decision support and modeling

The influence of cognitive science and psychology on decision theory is bringing about changes to assumptions about decision making, and, as a consequence, the way that decisions should be modeled and supported. The three articles published in this Special Issue on intelligent decision support and modeling reflect an emerging literature that incorporates psychology into decision modeling and de...