feed forward multilayer neural network
Contingency Ranking for Power System Using Multilayer Feed Forward Neural Network
... using Multilayer Feed Forward Neural Network(MFFN) and to deal with fast and accurate static security assessment (SSA) and contingency analysis of a large electric power ...
12
Prediction Of The Compressive Strength Of Palm Kernel Shell Ash Concrete Using Multilayer Feed Forward Neural Network
... a multilayer Feed-Forward Artificial Neural Network (MLFNN) model for predicting the compressive strength of concrete containing palm kernel shell ash (PKSA) as partial cement ...
5
Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... (Multilayer feed forward back propagation Artificial Neural Network) and RBF-ANN (Radial basis function Artificial Neural Network) has been used to implement the ...
8
The Exchangeable Markov Multi-states Growth Process Incorporate with an Artificial Neural Network of Preterm Infants in an Incubator
... artificial neural network (ANN) has been recently proposed as a novel technique to control those parameters to provide a better and stabilized environment in an ...with multilayer ...
7
A Comparative Study of Multilayer Feed-forward Neural Network and Radial Basis Function Neural Network Models for Speech Recognition Priyanka Tyagi 1, Dr. Jayant Shekhar2
... back-propagation neural network system for the classification of audio signals with 90% recognition accuracy was presented by Shah et ...of Feed-forward neural network and Radial ...
9
Artificial Neural Network, Kidney, Glomerulonephritis, Clinical Tests, Computer-Aided Medical Diagnosis, Multilayer Feed Forward Neural Network
... artificial neural network (ANN) is a computational model that attempts to account for the parallel nature of the human ...a network of highly interconnecting processing elements (neurons) operating ...
5
Identification of Iris Plant Using Feed Forward Neural Network On The Basis Of Floral Dimensions
... of multilayer feed forward neural ...of network weights using Particle Swarm Optimization (PSO) as a mechanism to improve the performance of Artificial Neural Network ...
5
Prediction of Weld Bead Geometry and Penetration in Electric Arc Welding using Artificial Neural Networks
... propagation network is a multilayer feed forward network with a different transfer function in the artificial neuron and more powerful learning ...the network must be presented ...
6
Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms
... a multilayer feed forward neural network to model the static nonlinear[13], least square and SVD for Hammerstein model[11],[8], recursive identification for Hammerstein system with ...
8
Multilayer Feed Forward Neural Network Integrated with Dynamic Learning Algorithm by Pruning of Nodes and Connections
... many neural networks algorithms have been proposed by researchers to overcome the inefficiency of ANNs with predetermined ...the network during the ...the network architecture as learning ...the ...
9
Forecasting Malaysia load using a hybrid model
... Using Malaysia load data, Mohamed et al. [12][13] showed that the MAPE values using SARIMA and multilayer feed-forward neural network are 0.9774104 and 3.7928802 respectively. The data ...
8
Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
... A multilayer feed-forward neural network Each layer is made up of ...the network correspond to the attributes measured for each training ...of neural network and ...
5
Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ...
17
Event Identification in Prototype Fast Breeder Reactor Subsystem using Artificial Neural Network
... Artificial Neural Network ...events. Multilayer feed forward network using back propagation algorithm is implemented and training has been carried out to achieve least mean ...
9
Towards Neural Network Model for Insulin/Glucose in Diabetics-II
... general neural network model that resembles the interactions between glucose concentration levels and amount of insulin injected in the bodies of ...of neural networks (NN’s) are experimented in ...
6
Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... typical multilayer perceptron (MLP) network consists of a set of source nodes forming the input layer, one or more hidden layers of computation nodes, and an output layer of ...the network ...
6
IJCSMC, Vol. 5, Issue. 7, July 2016, pg.382 – 386 A Comparative Study on Fraud Detection in Financial Statement using Data Mining Technique
... namely Multilayer Feed Forward Neural Network (MLFF)Sensitivity ...Probabilistic Neural Network (PNN) to identify financial that resort to financial statement fraud on a ...
5
Gait Recognition Using Deep Learning
... ABSTRACT: Detection of moving gait in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams ...
5
A Data Mining Model by Using ANN for Predicting Real Estate Market: Comparative Study
... Neural network is an artificial intelligence model origin- nally designed to replicate the human brain’s learning ...[18]. Neural network is an interconnected network of artificial ...
8
New Approaches for Image Compression Using Neural Network
... The neural network architecture for image compres- sion is having 64 input neurons, 16 hidden neurons and 64 output neurons according to the ...with neural network to manage the input and ...
10