[PDF] Top 20 Predicting terrain contours using a feed forward neural network
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Predicting terrain contours using a feed forward neural network
... the terrain makes wheeled or tracked vehicles ...the terrain. A predictive terrain contour mapping strategy is proposed that uses a feed-forward neural network trained ... See full document
8
Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network
... the network regarding the network's modifiable ...multilayer network using only linear activation functions is equivalent to some single layer, linear ... See full document
7
Prediction Of The Compressive Strength Of Palm Kernel Shell Ash Concrete Using Multilayer Feed Forward Neural Network
... multilayer Feed-Forward Artificial Neural Network (MLFNN) model for predicting the compressive strength of concrete containing palm kernel shell ash (PKSA) as partial cement ... See full document
5
To Improve the Performance of Secondary Structure Prediction by Soft Computing Technique
... as neural network has been widely used in predicting secondary structures of amino acid ...Multi-layered feed forward neural network model is trained with the help of ... See full document
5
Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... for predicting weather and crop yield are Fuzzy-C-Means (FCM), Self- Organizing Maps (SOM), Machine Learning (ML) and so on [6], ...for predicting the cost benefit of crop ... See full document
9
Emotion Recognition using Feed Forward Neural Network & Naïve Bayes
... Abstract: In this paper we analyze and predict the emotion of a user by recognizing his/her face. Face recognition is a software application which is used to identify a particular person; it will be mostly useful in ... See full document
5
Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region)
... and neural network model (feed-forward back- propagation network) were employed to develop a pedotransfer function for predicting soil cation exchange capacity by using ... See full document
8
A Data Mining Model by Using ANN for Predicting Real Estate Market: Comparative Study
... the neural network model by using two types of neural networks first feed forward neural network, sec- ond Cascade forward neural network, and ... See full document
8
Stock Market Prediction using Feed forward Artificial Neural Network
... artificial neural networks have been claimed to be excellent general function ...Artificial neural networks are mostly used in predicting financial ...artificial neural networks to predict ... See full document
5
Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network
... mobile network. The study in this paper concern predicting the voice traffic (Erlang) of mobile network at busy hour( 5 to 7 pm) of a day which is nonlinear & ...report. Feed ... See full document
7
Cholesky ANN models for predicting multivariate realized volatility
... through neural networks can be specified, namely the NARX neural network and the long short-term memory (LSTM) neural ...NARX neural network can be seen as an augmented version ... See full document
25
Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... for feed forward back propagation learning algorithm to create, train and test the neural network for palm print ...its neural network toolbox is ... See full document
5
REVIEW STRATEGY FORFACERECOGNITION USING GABOR FILTER
... method using Artificial Neural Network (ANN) and Gabor ...rate using Gabor ...By using these desirable characteristics, Gabor filters extract facial features from the local ...a ... See full document
5
Idendifying Eye Movements using Neural Networks for Human Computer Interaction
... Classification accuracies varied from 90.99% and 90.10% for convolution features and 90.88% and 89.92% for SVD features using time delay neural network and feed forward neural network re[r] ... See full document
9
Prediction of Tourist Quantity Based on RBF Neural Network
... the network to learn the number of relatively large; input nodes is too little, follow-up values can not reflect the value of the correlation between the ...RBF neural network is 5, and the number of ... See full document
6
Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... of network architecture, in this part before different types of feed-forward neural network models, some points related to the network architecture will be ... See full document
17
Assamese Digit Recognition with Feed Forward Neural Network
... A neural network based Gujarati handwritten numeral recognition is proposed by Apurva ...adjusted using adaptive histogram equalization algorithm to efficiently deal with various color ink that is ... See full document
7
Content Based Image Retrieval for Medical Imaging Using Fuzzy FFBP Neural Network Approach
... Feed Forward Back Propagation Neural Network (FFBP NN):[17] in our proposed work, FFBP NN is applied in which information moves in only one ...in forward and backward direction. Output ... See full document
9
Rainfall Simulation using ANN based Generealized Feed Forward and MLR Technique
... Chua et al. (2013) have employed several soft computing approaches for rainfall prediction. They have considered two aspects to improve the accuracy of rainfall prediction: (1) carrying out a data-preprocessing procedure ... See full document
5
Contingency Ranking for Power System Using Multilayer Feed Forward Neural Network
... severity using a scalar performance index (PI), which measures the system ...applies network solutions in order to recognize the system violations and rank the severity for the various ... See full document
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