[PDF] Top 20 Performance Evaluation by Artificial Neural Network Using WEKA
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Performance Evaluation by Artificial Neural Network Using WEKA
... Data mining [1] is the process of analyzing data from different perspectives and summarizing it into important information so as to find hidden patterns from a large data set. Data mining [2] points to the strategy of ... See full document
6
Performance of induction motor at variable voltage using Artificial Neural Network
... An artificial neuron is a concept whose components a direct analogy with the biological neuron ...the artificial neuron, reminding us of an analog summer- like ... See full document
6
Performance Prediction for Post Graduate Students using Artificial Neural Network
... neural network, tree decision & linear regression to predict academic performance of ...the neural network ...student performance prediction model, suggesting that the ... See full document
9
Research of Teacher’s Performance Evaluation Model Based on AHP and Improved PSO BP Neural Network
... comprehensive evaluation of teachers' performance, including qualitative index and quantitative ...single evaluation method can guarantee the comprehensiveness and scientificity of evaluation ... See full document
6
Retina Based Biometric Identification System using Artificial Neural Network
... This algorithm uses corners as the basis for feature extraction. The extracted features can be used in mapping object and matching features in similar images. This algorithm is efficient and high speed of operation while ... See full document
5
Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network
... energy performance of SAH, calculating the optimal value of performance parameters of a flat- plate solar air heater for the maximum exergy ...conditions using four types of absorber plates and ... See full document
12
Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... Learning in FFNN with back propagation occurs during the training phase in which each input pattern from the training set is applied to the input layer and then propagates forward. The pattern of activation arriving at ... See full document
10
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction
... the performance of artificial neural networks-imperialist competitive algorithm (ANN-ICA) and artificial neural networks-gray wolf optimizer (ANN-GWO) models for the crop yield ... See full document
5
Approaches in RSA Cryptosystem Using Artificial Neural Network
... their performance were calculated wit ha large range of ...the Neural Network ...RBF Neural Network is good in function approximation but it has the limitations of a one- hidden layer ... See full document
7
Multi Lingual Speaker Identification on Foreign Languages using Artificial Neural Network
... Based on the Back Propagation Algorithm, this paper portrait a method for speaker identification in multiple foreign languages. In order to identify speaker, the complete process goes through recording of the speech ... See full document
7
Predicting energy requirement for heating the building using artificial neural network
... by using artificial neural network ...the network. The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and ... See full document
6
Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... The performance of conventional multiple regression, artificial neural network (back propagation neural network, generalized regression neural network) and support ... See full document
7
Performance Prediction of Refrigeration Systems by Artificial Neural Network
... back-propagation network is composed of many interconnected artificial neurons that are often grouped into input, hidden and output ...The artificial neuron evaluates the inputs and determines the ... See full document
9
Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... Climate change is causing a rise in sea level, which increases the likelihood of recurring damaging floods from storm surges for embankment structures (i.e., dams and levees). To help mitigate these damages, precise ... See full document
217
Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... casting performance of such variables can be improved using neural network ...horizon, neural networks yield no significant forecast ...best neural network models are ... See full document
8
Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...for network design, ... See full document
7
Beat classification of an ecg signal using photoplethysmography and neural network
... of using Pulse Transit Time (PTT) and Pulse Wave Velocity (PWV) were shown to have co-relation with arterial blood pressure (BP) and have been reported to be suitable for indirect BP ... See full document
6
Price Optimization in Ecommerce using ANN
... propagation neural network which contains three layers: input layer, hidden layer and output ...The network we designed consists of five units in the input layer across three ... See full document
6
Text Recognition using Convolutional Neural Network: A Review
... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document
5
Classification of Cancer of the Lungs using ANN and SVM Algorithms
... of Neural Networks (NN) have been proposed but all of them have three things in common: the individual neuron, the connection between them (architecture), and the learning ...train neural networks is Back ... See full document
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