Paper Title:
Application of Fuzzy Neural Network in Gas-Solid Reaction Kinetics in Porous Media
  Abstract

Based on the gas-solid reactions in porous media model kinetic experiments, using the fuzzy neural network and adaptive fuzzy neural network algorithm, establishs the model of fuzzy neural network in gas-solid reactions in porous media. through software algorithms, and some experimental data input system for data fitting to prove the validity and correctness of the system.

  Info
Periodical
Edited by
Zeng Zhu
Pages
559-563
DOI
10.4028/www.scientific.net/AMR.214.559
Citation
X. M. Yu, X. K. Yu, Y. Hu, "Application of Fuzzy Neural Network in Gas-Solid Reaction Kinetics in Porous Media", Advanced Materials Research, Vol. 214, pp. 559-563, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wei Feng Wang, Jun Tao Yuan, An Lin Zhang, Meng Li
Chapter 5: Road and Bridge Engineering
Abstract:For present-day bridges.cable tensions test is a vitally important job in course of construction.The tensions condition of cables plays an...
1117
Authors: Hui Qin Sun, Zhi Hong Xue, Ke Jun Sun, Su Zhi Wang, Yun Du
Chapter 2: Manufacturing Technology
Abstract:BP neural network is currently the most widely used of neural network models in practical application in transformer fault diagnosis. BP...
789
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Jian Xue Chen, Shui Yu
Chapter 4: Mechatronics and Automation Manufacturing Systems, Control Technologies
Abstract:Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift...
553
Authors: Teng Li, Xiao Mei Yuan, Shi Liang Yang, Xin Hui Zhang
Chapter 2: Motivation, Thermal, Electronics and Power Engineering
Abstract:A new approach is presented for analyzing gas mixtures by transforming the problem into a pattern classification one to reduce the effect of...
548