Fuzzy, ANN & Expert Approaches
نویسنده
چکیده
The purpose of this paper is to explore the ability to continually change and obtain new understanding of driving power of Expert Approach. Expert systems are able to advantageously replace human experts in various application areas with the involvement of ANN and Fuzzy Logic. Finally this hybrid system is formed to gain the outstanding performance from a expert system. The basic concept of ANN and Fuzzy logic is also explained in this paper. Fuzzy logic is a tool and can only useful and powerful when combined with analytic methodologies and machine reasoning techniques and Artificial Neural network produces a artificial system capable of sophisticated computation similar to human brain. Keywords-Expert System; ANN; Fuzzy Logic; Hybrid System
منابع مشابه
Analysis of Power Transformer using fuzzy expert and neural network system
Power transformers being the major apparatus in a power system, thus the assessment of transformer operating condition and lifespan have obtained crucial significance in latest years. Dissolved gas analysis (DGA) is a sensitive and reliable technique for the detection of incipient fault condition within oil-immersed transformers, which provides the basis of diagnostic evaluation of equipment he...
متن کاملMultiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
In the recent years, new techniques such as; artificial neural networks and fuzzy inference systems were employed for developing of the predictive models to estimate the needed parameters. Soft computing techniques are now being used as alternate statistical tool. Determination of swell potential of soil is difficult, expensive, time consuming and involves destructive tests. In this paper, use ...
متن کاملKnowledge and intelligent computing system in medicine
Knowledge-based systems (KBS) and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) whereas intelligent computing method (ICM) encompasses genetic algorithm (GA), artificial neural network (ANN), fuzzy logic (FL) and others. The combination of m...
متن کاملPrediction of spontaneous heating susceptibility of Indian coals using fuzzy logic and artificial neural network models
Coal mine fires due to spontaneous heating are a major concern worldwide. Most of these fires could be averted if suitable preventive measures are taken. Since the spontaneous heating potential of all types of coals are not the same, its accurate prediction is essential to plan efficient preventive measures and improve production and storage capabilities of a mine. The current paper presents a ...
متن کاملModeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares – Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques to improve the accuracy of daily pan evaporation estimation in sub-tropical climates. Meteorological data from the Karso watershed in India (consisting of 3801 daily records from the year 2000 to ...
متن کامل