# Neuro Fuzzy Modeling Scheme for the Prediction of Air Pollution

@inproceedings{Alhanafy2010NeuroFM, title={Neuro Fuzzy Modeling Scheme for the Prediction of Air Pollution}, author={Tharwat E. Alhanafy and Fareed Zaghlool and Abdou Moustafa}, year={2010} }

The techniques of artificial intelligence based in fuzzy logic and neural networks are frequently applied together. The reasons to combine these two paradigms come out of the difficulties and inherent limitations of each isolated paradigm. Hybrid of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the growing interest of researchers in various scientific and engineering areas due to the growing need of adaptive intelligent systems to solve the real world… Expand

No Paper Link Available

#### 23 Citations

Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

- Engineering
- 2015

Fuzzy Neural Networks (FNNs) with the integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but… Expand

Using Adaptive Neuro-Fuzzy Inference System ( ANFIS ) to Improve the Long-term Rainfall Forecasting

- 2015

A hybrid intelligent system is one that combines at least two intelligent technologies, for example, combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system. In This… Expand

A New Algorithm to Model Highly Nonlinear System based Coactive Neuro Fuzzy Inference System

- Computer Science
- 2014

The software of the modified algorithm of MIMO model identification is built and generated by me or added as a toolbox to matlab and the result of modified algorithm (CANFIS) showed a conformance with the simulated example and the root mean square is very small. Expand

Building an Adaptive Neural Fuzzy Inference System for Revised General Test/Gross Point Average Problem

- 2013

This paper studies both fuzzy inference systems and artificial neural networks, or so-called neurofuzzy techniques to solve the problem of admitting students at the registration department at a high… Expand

Air Pollution Prediction Model Using Artificial Neural Network And Fuzzy Theory

- Computer Science
- 2020

The proposed model is Cooperative of Artificial Neural Network and Fuzzy Inference System, to predict air pollution of Korean cities using Python, and was able to predict a very unhealthy value. Expand

Assessment and prediction of air quality using fuzzy logic and autoregressive models

- Engineering
- 2012

In recent years, artificial intelligence methods have been used for the treatment of environmental problems. This work, presents two models for assessment and prediction of air quality. First, we… Expand

Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Approaches

- Engineering
- 2014

This paper aims to design
and implement an automatic heart disease diagnosis system using MATLAB. The Cleveland data set for
heart diseases was used as the main database for training and testing… Expand

Adaptive Neural Fuzzy Inference System for Employability Assessment

- Computer Science
- 2014

A new adaptive neural fuzzy inference system for assessment of employability with the help of some neuro fuzzy rules is introduced, named as Adaptive Neural Fuzzy Inference System for Employability Assessment (ANFISEA). Expand

Modeling and Identification of Spacecraft Systems Using Adaptive Neuro Fuzzy Inference Systems (ANFIS)

- Computer Science
- 2014

This paper concentrates on the identification of Multiple Inputs Multiple Outputs (MIMO) system data with and without noise by means of a hybrid-learning rule, which combines the back propagation and… Expand

Feasibility Analysis of Air Quality Indices using Fuzzy Logic

- Computer Science
- 2016

The present investigation was carried out to significant of air pollutant concentrations at Residential, Industrial & Sensitive Areas Bangalore, and applied a real time Fuzzy Logic System with Simulink to calculate AQI. Expand

#### References

SHOWING 1-10 OF 26 REFERENCES

Design of fuzzy systems using neurofuzzy networks

- Mathematics, Medicine
- IEEE Trans. Neural Networks
- 1999

A systematic approach for fuzzy system design based on a class of neural fuzzy networks built upon a general neuron model that encodes the knowledge learned in the form of if-then fuzzy rules and processes data following fuzzy reasoning principles is introduced. Expand

Foundations Of Neuro-Fuzzy Systems

- Computer Science
- 1997

The authors' informed analysis of practical neuro-fuzzy applications will be an asset to industrial practitioners using fuzzy technology and neural networks for control systems, data analysis and optimization tasks. Expand

Neural-Network-Based Fuzzy Logic Control and Decision System

- Computer Science
- IEEE Trans. Computers
- 1991

A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed, in the form of feedforward multilayer net, which avoids the rule-matching time of the inference engine in the traditional fuzzy logic system. Expand

Dynamic evolving fuzzy neural networks with `m-out-of-n' activation nodes for on-line adaptive systems

- Computer Science
- 1999

It is proved that the mEFuNNs can effectively learn complex temporal sequences in an adaptive way and outperform EFunns, ANFIS and other neural network and hybrid models. Expand

Neural Networks - A New Mathematical Tool ForAir Pollution Modelling

- Computer Science
- 1970

A new tool for air pollution modelling neural networks will be described and its capabilities and disadvantages will be shown in the cases of wind forecasting and reconstruction, and SC>2 pollution forecasting. Expand

Learning and tuning fuzzy logic controllers through reinforcements

- Computer Science, Medicine
- IEEE Trans. Neural Networks
- 1992

The generalized approximate-reasoning-based intelligent control (GARIC) architecture learns and tunes a fuzzy logic controller even when only weak reinforcement is available; introduces a new conjunction operator in computing the rule strengths of fuzzy control rules; and learns to produce real-valued control actions. Expand

An On-Line Self-Constructing Neural Fuzzy Inference Network and Its Applications

- 1998

A self-constructing neural fuzzy inference network (SONFIN) with on-line learning ability is proposed in this paper. The SONFIN is inherently a modified Takagi–Sugeno–Kang (TSK)-type fuzzy rule-based… Expand

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

- Computer Science
- 1991

This work combines neural networks and fuzzy systems, presenting neural networks as trainable dynamical systems and developing mechanisms and principles of adaption, self-organization, convergence… Expand

Analysis and applications

- Mathematics
- 2010

Optimal Control of a Biharmonic Obstacle Problem, D. Adams et al.- Minimal Thinness and Beurling's Minimum Principle, H. Aikawa.- Progress in the Problem of Lp-Contractivity of Semigroups for Partial… Expand

A Soft Computing Approach For Accurate Recognition of Occluded Shapes," journal of intelligent and fuzzy systems

- 2000