Learning disability prediction tool using ANN and ANFIS
نویسندگان
چکیده
منابع مشابه
Learning disability prediction tool using ANN and ANFIS
Learning Disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 15 % of children enrolled in schools. The prediction of LD is a vital and intricate job. The aim of this paper is to design an effective and powerful tool, using the two intelligent methods viz., Artificial Neural Network and Adaptiv...
متن کاملSurface Roughness Prediction Model Using Ann & Anfis
Now a days the general manufacturing problem can be described as the achievement of a predefined product quality with given equipment, cost and time constraints. There is a rapid development in the quality of advanced aero space materials like aluminum and its alloys with improved properties. The difficulties in machining of these materials economically and effectively are limiting their applic...
متن کاملSecondary Structure Prediction Using ANN Learning
This paper presents two methods for predicting the secondary structure of proteins based on artificial neural network learning. Two variations of NN learning rule are employed using feedforward backpropogation architecture for predicting secondary structure of proteins from their promary sequences of amino acids. About 500 sequences and more than 10000 patterns were trained with variable size o...
متن کاملPrediction of Bubble Point Pressure & Asphaltene Onset Pressure During CO2 Injection Using ANN & ANFIS Models
Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter fluid properties of oil and cause some problems such as asphaltene precipitation. The maximum amount of asphaltene precipitation occurs near the fluid pressure and concentration saturation. According to the description of asphaltene deposition onset, the bubble point pressure has a very special imp...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Soft Computing
سال: 2013
ISSN: 1432-7643,1433-7479
DOI: 10.1007/s00500-013-1129-0