[PDF] Top 20 A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction
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A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction
... a Probabilistic Neural Network hybridized with fuzzy logic to predict students’ performance and to classify them according to their similar ...characteristics. Probabilistic ... See full document
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Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... models performance was analyzed with interval type-2 fuzzy logic (using Gaussian, trapezoidal and triangular membership functions), probabilistic neural network (PNN) and Support Vector ... See full document
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Student’s Academic Performance Prediction Using Factor Analysis Based Neural Network
... others. Neural networks have a remarkable ability to derive meaning from complicated or imprecise data and can be used to extract patterns and detect trends that are too complex to be noticed by either humans or ... See full document
6
Automatic skin lesion prediction using texture feature and probabilistic neural network
... The derivation of the PNN classifier was described. PNNs have been used for classification issues. The PNN classifier conferred sensible accuracy, terribly tiny coaching period of time, hardiness to weight changes, and ... See full document
6
Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... artificial neural network model, ...of fuzzy model to predict bending rigidity based on the mentioned ...the prediction accuracy of fuzzy logic model in comparison with three modeling ... See full document
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Online Full Text
... and neural network prediction models were used to mine performance and wellness data of first-year engineering students to identify factors that may cause ...university performance data ... See full document
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An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN)
... student’s performance using Recurrent Neural Network with Rectified Linear Unit (ReLU) activation ...student’s performance and help to identify the students who have higher chance of ... See full document
5
A Conceptual Framework to Predict Academic Performance of Students using Classification Algorithm
... semester's academic performance. Proposed models using Artificial Neural Networks, Decission tree algorithm and linear regression provided 80% ...collect student data like usage of the ... See full document
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Student Academic Performance Prediction using Artificial Neural Networks: A Case Study
... study, student dataset of 2018 academic year was obtained from the Department of Networking and System Security in ...and Academic data: Grade Point Average of first semester (as GPA_1) which is ... See full document
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Prediction of Student Academic Performance using Neural Network, Linear Regression and Support Vector Regression: A Case Study
... students‟ performance data using classification algorithm named ID3 to predict students marks at the end of the ...year academic performance of ...size, academic qualification of parents, ... See full document
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Predicting Student’s Performance Using Data Mining Techniques: A Survey From 2002 To 2020
... predict performance of students. Neural networks process data in the same way as human brain ...does. Neural networks are a group of interconnected ...a neural network is similar to the ... See full document
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Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document
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Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network
... ANN is a computational tool that works like a human neural system. It is a complex information processing system, which is structured with interconnected segmental processing elements called “neurons”. These ... See full document
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Neural Network Regressions with Fuzzy Clustering
... the Fuzzy C-means algorithm for shapes of ellipses and ellipsoids [4], there are still strict restrictions on the clusters’ ...problem. Fuzzy c-regression can solve the problem partially, only when the ... See full document
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Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... best performance in fault recognition of gear with one missing tooth, and the fault recognition rate is ...the performance of ANFIS model after training has better ... See full document
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Application of Data Mining in Adaptive and Intelligent Tutoring Systems: A Review
... Abstract –Educational Data Mining focuses on the application of data mining techniques to educational data, in order to better understand students’ learning behavior. Intelligent tutoring systems and Adaptive learning ... See full document
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Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
... same functions as the input layers neurons. After that each neuron passes the output to the next neuron of the output layer. The output layer calculate the in the same way as the The above process is done in every weight ... See full document
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Comparison of Artificial Intelligence Methods on the Example of Tea Classification Based on Signals from E nose Sensors
... Abstract The data collected from electronic nose systems are multidimensional and usually contain a lot of redundant information. In order to extract only the relevant data, different computational techniques are ... See full document
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Data Mining Technique for Prediction of Academic Performance of Student using SOM
... many prediction systems are available with difference approach and techniques in student performance prediction that has been reported by ...evolved student performance and there ... See full document
6
A Survey Paper on Detection and Classification of Leaf Diseases in Plants
... The basic techniques are used for the detection and classification of leaf disease in plants which are artificial neural network, Probabilistic Neural network, K means clustering for ... See full document
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