Back Propagation Algorithm (BPA)
Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network
... Abstract: Text-based CAPTCHA is a very simple type of CAPTCHA which are most widely used. It uses only a group of characters. In this paper, we focus on how Text based CAPTCHA is recognized by machine learning ...
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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 ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... colony back-propagation (ABC- BP) algorithm [11-12], genetic algorithm (GA) [13], hybrid PSO-BP [14], and evolutionary artificial neural networks algorithm (EA) ...Bat-Based ...
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An Improved Gauss Newtons Method based Back propagation Algorithm for Fast Convergence
... descent back-propagation (SDBP) is used in several applications despite its asymptotic slow convergence rate ...The algorithm is also known as a gradient ...descent algorithm encourages many ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... network Back propagation algorithm is shown in Figure ...parallel. Back propagation algorithm performs learning on two layer neural ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... training algorithm can implemented on-chip with the neural ...work back propagation algorithm is implemented in its gradient descent form, to train the neural network to function as basic ...
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Diagnosis of thyroid disorders using Back propagation method
... using back propagation algorithm by training feed-forward neural network has been discussed in this ...using Back Propagation algorithm. In this work, back ...
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Optical Character Recognition using Neural Network
... Error-back propagation algorithm is used to train the multi layered feed forward neural ...Levenberg-Marquardt algorithm based training is also used in error back propagation ...
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CLUSTER HEAD BASED GROUP KEY MANAGEMENT FOR MALICIOUS WIRELESS NETWORKS USING TRUST METRICS
... Back propagation, or propagation of error, is a common method of teaching artificial neural networks how to perform a given ...The back propagation algorithm is used in layered ...
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A Hybrid Differential Evolution and Back Propagation Algorithm for Feedforward Neural Network Training
... proposed algorithm takes less computational time than DE based training ...BP algorithm observed many times in running the training algo- rithm number of times over all ...training algorithm needs ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... and back propagation algorithm ...on back propagation [9-10]. The back-propagation (BP) learning has become the most stan- dard method and process in adjusting weight and ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... this algorithm, each best nest or solution represents a best possible solution ...combined algorithm is that CS is used at the beginning stage of searching for the ...LM algorithm. The LM ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... In the basic ant colony algorithm, subinterval with the largest information amount in the next node was selected according to the probability of p . Furthermore, the path with the maximum information amount was ...
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Analyzing and Implementing a Mobile Reminder System for Alzheimer’s Patients
... Samsung created the “Memory Recaller,” an innovation that gives meaning back to an Alzheimer patient’s life. The easy-to-use mobile application was developed in consultation with dementia specialists at praram9 ...
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A framework for the Recognition of Human Emotion using Soft Computing models
... Genetic Algorithm is a heuristic method used to find approximate solutions to solve problems. In early 1970s, John Holland introduced the concept of Genetic Algorithm [11]. GA is an iterative process. Each ...
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Analyzing and Implementing a Mobile Reminder System for Alzheimer’s Patients
... Samsung created the “Memory Recaller,” an innovation that gives meaning back to an Alzheimer patient’s life. The easy-to-use mobile application was developed in consultation with dementia specialists at praram9 ...
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Optimizing Back Propagation using PSO Hill A* and Genetic Algorithm
... genetic algorithm (GA) and particle swarm optimization (PSO) techniques emerged as promising algorithms for handling optimization ...a back propagation(BP) algorithm [2], Genetic ...
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A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... In this step features gained after pre-processing is put in Error Back Propagation neural network. As each input vector is already present in segmented form, where position of the values presents various ...
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A Hybrid ANN GWO Algorithm for Prediction of Heart Disease
... Artificial Neural Network (ANN) is adopted from the biological complex system, the human brain, which con- sists of a huge number of highly connected elements called neurons. ANN tries to find the relationships between ...
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Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm
... batch back prop algorithm, and for numerous problems it converges very quickly ...the back propagated gradient to change the biases/weights of the network, instead of the magnitude of the gradient ...
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