Back-Propagation
A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... Abstract: The concept of Intrusion Detection System is used in the work. The data set is used for training and testing. Various numeric features of dataset are selected for better accuracy.SVM that is Support Vector ...
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Exudates Detection with DBSCAN clustering and Back Propagation Neural Network
... The back propagation algorithm is a generalization of the least mean square algorithm that modifies network weights to minimize the mean squared error between the desired and actual outputs of the ...The ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... Back propagation training algorithm is widely used techniques in artificial neural network and is also very popular optimization task in finding an optimal weight sets during the training ...traditional ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... network back propagation algorithm. Back propagation algorithm is used to train the neural ...network back propagation al- ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... work back propagation algorithm is implemented in its gradient descent form, to train the neural network to function as basic digital gates and also for image ...of back propagation algorithm ...
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Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV
... resilient back propagation method has been established to overcome the fiasco of back propagation [10] ...traditional back propagation algorithm that modifies the weights of a ...
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Speech Recognition using the Epochwise Back Propagation through Time Algorithm
... paper, Back propagation neural network architecture used to recognize the time varying input data, and provides better accurate results for the English Alphabet speech ...Epochwise Back ...
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License Plate Recognition System using Back Propagation Neural Network
... 4: Back Propagation Neural Network extended gradient descent based Delta learning rule, commonly known as Back Propagation ...The back propagation algorithm is the most widely ...
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Palmprint Biometrics using Feed Forward Back Propagation Neural Network
... A biometric system provides more efficient and reliable means of identity verification. By this biometric verification it can be decided whether print based identity verification system has been widely used in various ...
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A new back propagation neural network optimized with cuckoo search algorithm
... the back propagation algorithm including the conjugate gradient descent [15] ...colony, back propagation algorithm [26], and genetic algorithms (GA) ...
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Diagnosis of thyroid disorders using Back propagation method
... Back propagation method: consider the constant ‘1’ and it is fed into the output unit and where the network will run backwards. The incoming information to a node will be added and the result is multiplied ...
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An Approach to Handwriting Recognition using Back Propagation Neural Network
... the Back-Propagation Network, characters drawn with the help of a stylus can thus be ...shown back-propagation approach are acceptable for recognizing ...the back-propagation ...
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Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification
... Recurrent neural network (RNN) has been widely used as a tool in the data classification. This network can be educated with gradient descent back propagation. However, traditional training algorithms have ...
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PRIVACY PRESERVING BACK PROPAGATION NEURAL NETWORK IN CLOUD COMPUTING
... Preserving Back Propagation Algorithm for a Vertically Partitioned ...of back propagation which allows a neural network to be trained without requiring either party to reveal her data to the ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... particularly back propagation algorithm is a complex task of great importance in the field of supervised ...with back-propagation neural network (BPNN) algorithm in-order to gain optimal ...
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Dendritic spike back propagation in the electrosensory lobe of Gnathonemus petersii
... The laminar organization of the ELL is clearly visible in the in vitro slice and makes this a suitable preparation to study the generation and propagation of broad action potentials in MG neurons (Grant et al., ...
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A Proposal of Back Propagation Learning for Secure Multi-Party Computation Methods
... Abstract—Many studies have been done with the security of cloud computing. Data encryption is one of typical approaches. However, complex computing requirement needs a great deal of time and effort for the system. ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... Error Back Propagation [13], Quick prop algorithm [18], Resi- lient Error Back Propagation [19], Back percolation, Delta-bar-Delta, Cascade Corre- lation [20] ...
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A review on Compressing Image Using Neural Network techniques
... In terms of the time-period, support vector machines presently are more time taking as compared to the other neural networks for similar generalization performance but in a comparison of SVM, Radial basis function and ...
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Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM
... a back-propagation (BP) algorithm is implemented in 3-phase shunt connected custom power device known as DSTATCOM for extraction of the weighted value of the load reactive power and active power current ...
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