Backpropagation Neural Network (BPNN)
A subjective job scheduler based on a backpropagation neural network
... the neural network is an elementary information-processing ...artificial neural network, first it is to be decided how many neurons are to be used and how the neurons are to be connected to ...
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Texture Feature On Determining Quantity of Soil Organic Matter For Patchouli Plant Using Backpropagation Neural Network
... Abstract. Patchouli (Pogostemon Cablin Bent) has higher PA (Patchouli Alcohol) and oil production if grown in soil containing 75% organic matter. One way that can be used to detect the content of organic matter is to use ...
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Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors
... minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the Chi- Chi earthquake from four seismic stations: Station-TAP003, ...
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Rainfall Forecasting Using Backpropagation Neural Network
... of Neural Networks are Multilayer Perception (MLP) that being combined with Backpropagation ...propagation Neural Network resulted 94,36% accuracy, while research by Vamsidhar et ...that ...
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Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis
... the backpropagation neural ...artificial neural network design ...The network size and accuracy results of the proposed method are better than the previous ...
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Forecasting Currency Exchange Rates via Feedforward Backpropagation Neural Network
... Feedforward Backpropagation Neural Network (FBNN) model and its application to currency exchange rate ...in neural networks were optimized using gradient descent and backpropagation ...
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Daily Network Traffic Prediction Based on Backpropagation Neural Network
... daily network traffic prediction method based on ...daily network traffic of ICT Center, and also provide a reference for the planning of network traffic at Universitas ...
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Backpropagation Neural Network Algorithm for Water Level Prediction
... artificial neural network back propagation network algorithm for the prediction of water level is the actual data which is the result of observation using wireless sensor network at laboratory ...
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Backpropagation Neural Network Experiment on Human Face Recognition
... of neural networks are that have the ability to learn complex nonlinear input-output relationships, use sequential training procedures and adapt themselves to the ...propagation neural networks are the ...
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Traffic Flow Condition Classification for Short Sections Using Single Microwave Sensor
... class. Backpropagation Neural Network Architectures . The network architecture in our work is selected as three-layered back- propagation neural network ...the network as ...
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Face Iris Multimodal Biometric System using Feedforward Backpropagation Neural Network
... The FFBPNN structure comprises of three layers such as input, hidden and output layer as shown in figure 5 under red block. FFBPNN works on Lenberg-Marquardt algorithm and the performance has been analyzed using mean ...
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Radial basis function neural network learning with modified backpropagation algorithm
... Artificial Neural Network (ANN) was developed as a parallel distributed system that is inspired by the biological learning process of the human ...(SOM), Backpropagation Neural Network ...
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Noise Cancellation of ECG Signal Using Adaptive and Backpropagation Neural Network Algorithms
... In the above figure 4.5 shows that first signal is our original signal which is generated from the data file name as 100_ECG_0_20.mat, which we consider as our desired ECG signal, second one is the white Gaussian noise ...
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Development of a Genetic based Neural Network System for Online Character Recognition
... standard backpropagation and genetic algorithm for recognition of uppercase ...optical backpropagation neural ...a backpropagation network algorithm combined with genetic algorithm to ...
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AUTOMATIC IDENTIFICATION OF RING ENHANCING LESION PATTERN IN CASES OF BRAIN INFECTION AND METASTASIS BRAIN TUMOR BASED ON INVARIANT MOMENT FEATURES CLASSIFICATION
... 49 The result of feature extraction using Hu moment invariants method is shown in Figure 6. From Figure 6, the values of the Hu moment invariants could be separated into three threshold values, they are 1, 0, and 0.5. It ...
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Hybrid learning-based model for exaggeration style of facial caricature
... Artificial Neural Network (ANN), related methods which are Backpropagation Neural Network (BPNN), GA and Hybridization of both ...
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Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
... the Backpropagation Neural Network ...that neural networks with cross validation 80% Training and 20% validation and testing as well as learning rate ...
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A FUZZY BASED BUFFER SPLIT ALGORITHM FOR BUFFER ATTACK DETECTION IN INTERNET OF THINGS
... fitness network with (20) neurons in the hidden ...training network and storing the desired training ...a Backpropagation neural ...training network; the update appears between the ...
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APPLICATION OF FITNESS SWITCHING GENETIC ALGORITHM FOR SOLVING 0 1 KNAPSACK PROBLEM
... a backpropagation neural network method for power transformers peak load forecasting has been ...of backpropagation type is better accuracy of results than other types of neural ...
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Prediction of Seismic zone in India using Neural Network Algorithms
... the Backpropagation neural network model for earthquake ...concludes backpropagation artificial neural network is a best suit for the non-linear relationship ...Perceptron ...
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