fast back-propagation algorithm
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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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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Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM
... this algorithm, extracted reference source currents exactly follow the actual source currents during steady-state as well as dynamic ...This algorithm is implemented on the DSTATCOM for compensation of ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... For fast and efficient training, second order learning algorithms have to be ...(LM) algorithm [21], which is a derivative of the Newton ...multifaceted algorithm since not only the gradient but also ...
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Second Order Learning Algorithm for Back Propagation Neural Networks
... for fast supervised learning method in the neural ...proposed algorithm had shown improvements in the convergence rate with 40% faster than other standard algorithms without losing their ...proposed ...
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Event Identification in Prototype Fast Breeder Reactor Subsystem using Artificial Neural Network
... Identification of events in nuclear power plant is a very challenging task because each event has a unique set of patterns based on the dynamic behavior of the plant. Accordingly the effective set of parameters has to be ...
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A REAL TIME QRS DETECTION SYSTEM USED ERROR BACK PROPAGATION NEURAL NETWORK
... a fast Error Back Propagation Neural Network (EBP-NN) algorithm for QRS complex locations is ...a Back propagation neural ...accurate. Algorithm performance was evaluated ...
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Knowledge-based Neural Network for Line Flow Contingency Selection and Ranking
... by Back Propagation algorithm) is integrated with a Neural Network for fast and accurate CS & R in an IEEE 14-bus system, for unknown load patterns and are found to be suitable for on-line ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... used algorithm, BPNN is known to be able to train Artificial Neural Networks (ANN) ...Bat-BP algorithm is proposed to train BPNN in order to achieve fast convergence rate and enhanced ...Bat-BP ...
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KNOWLEDGE-BASED NEURAL NETWORK FOR LINE FLOW CONTINGENCY SELECTION AND RANKING
... by Back Propagation algorithm) is integrated with a Neural Network for fast and accurate CS & R in an IEEE 14-bus system, for unknown load patterns and are found to be suitable for on-line ...
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An Optimized Back Propagation Learning Algorithm with Adaptive Learning Rate
... of back propagation learning is the learning rate which values lies between ...learning algorithm beside the neuron weight adjustments for each iteration during the training process because it ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... The Back propagation training algorithm code for 4:4:2:2:4 neural network with PURELIN transfer function is implemented in ...using back propagation ...
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Prediction Of Heart Disease Using Back Propagation MLP Algorithm
... BackPropagation algorithm using 15 input attributes gives the highest accuracy BackPropagation algorithm with momentum and variable learning rate was used to train the ...
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Analysis Of Line To Ground Fault In Transformer By Elman’S Network Using Gradient Descent Back Propagation Algorithm
... the circuit conductors, separate equipment grounding conductor if installed, or both. In addition, the ground fault current can also flow back to the source through other paths, including grounded metal piping, ...
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Content Based Message Filtering System for OSN User Walls
... The back propagation categorizes short messages as Neutral and Non-neutral; within the second stage, Non-neutral messages are further classified into subclasses like vulgar , political ...𝑑𝑗.in back ...
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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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Mobile Based Medical Diagnosis System Using Ann-Arm For The Diabetes Mellitus
... Hypoglycemia or low blood glucose is dangerous and can result in unconsciousness, seizures, and even death. It is a common and serious side effect of insulin therapy in patients with diabetes. Hypoglycemic monitor is a ...
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Technique for Density Based Clustering Using Neural Network in Data Mining
... clustering algorithm which is based on density and can identify arbitrary shaped clusters and eliminate noise ...DBSCAN algorithm has been extremely famous since it can identify arbitrary shaped clusters ...
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New Approaches for Image Compression Using Neural Network
... Levenberg-Marquardt algorithm results are summarized in Table ...Levenberg-Marquardt algorithm, due to large size of image, the matrix size is also large and it is not possible to perform more ...
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Modeling of SVC Controller based on Adaptive PID Controller using Neural Networks
... The BP network is a multilayered simple network which consists of three layers BP NN and they are an input layer, hidden layer and an output layer. It contains four input neurons, five hidden neurons and three output ...
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