Back-propagation algorithm (BP)
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 ...Bat algorithm is becoming a popular method in solving many complex optimization ...
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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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Power Load Forecasting using Back Propagation Algorithm
... 4.4. BACK-PROPAGATION ALGORITHM (BPA) Newton‟s Steepest descent rule is used in the learning to achieve the global ...The algorithm for BPA is as follows: ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... tope algorithm [14], a global search procedure such as evolutionary programming [15], and genetic algorithm (GA) ...gradient-descent BP is not path driven, but population ...Error Back ...
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Back Propagation Algorithm for Computerized Pape Evaluation using Neural Network
... calculations, the Back spread (BP) calculation. It has been utilized effectively for wide assortment of utilizations, for example, discourse or voice acknowledgment, picture design acknowledgment, ...
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Optimal Parameter Selection Using Three-term Back Propagation Algorithm for Data Classification
... of BP learning and control the variable of the neuron weight adjustments at each iteration during the training ...The algorithm will take a longer time to converge or may never converge if the LR is too ...
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Power Quality Improvement by Back Propagation Control Algorithm Using DSTATCOM
... A BP based control algorithm is used for extraction of fundamental weighted value of active and reactive power components of load ...currents. Back propagation algorithm which is ...
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Intelligent Control for Shunt Compensation
... control algorithm for the control of DSTATCOM for the improvement of power ...control algorithm used for the reference current estimation and gating pulse generation ...based Back Propagation ...
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Online Full Text
... the back-propagation algorithm is widely used and a powerful training technique [5, 8, ...the back-propagation (BP) algorithm having an optimal learning rate (adaptive ...
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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 ...
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1. Evaluate the performance of power energy output forecasting in photovoltaic cell
... error Back Propagation (BP) algorithm was ...with back propagation algorithm using MATLAB code and the obtained training and testing output power is tabulated and ...
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A new back propagation neural network optimized with cuckoo search algorithm
... (BPNN) algorithm [11]. However, the BPNN algorithm suffers from two major draw- backs: low convergence rate and ...the back propagation algorithm including the conjugate gradient ...
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Conductance Estimation Control Algorithm for Shunt Compensation in Neural Network
... control algorithm for the control of DSTATCOM for the improvement of power ...control algorithm used for the reference current estimation and gating pulse generation ...based Back Propagation ...
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Diagnosis of thyroid disorders using Back propagation method
... decisions propagation algorithm is ...where back-propagation algorithm is applied and trains the given thyroid ...disorders. Back propagation algorithm has been ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... descent algorithm such back propagation algorithm (BP) with a longer convergence time and more probability to fall into local ...colony algorithm, as a global optimization- based ...
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INVESTIGATING DATA MINING BY ARTIFICIAL NEURAL NETWORK: A CASE OF REAL ESTATE PROPERTY EVALUATION
... Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cut costs, forecasting, decision support etc. In this paper we ...
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Heart Disease Prediction Approach Using Machine Learning
... clustering algorithm and SVM (support vector machine) classifier based prediction analysis technique is used for clustering and classification of the input ...the back propagation algorithm is ...
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Maintainability Prediction for Software based on Class Diagram using Back Propagation Neural Network and Coco Search Algorithm
... Search Back propagation algorithm (CSBP) each better nest representations a possible solution ...CS algorithm the weights are initialized and these weights are considered to be introduced to ...
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Improved Belief Propagation by Employing the Positive Effects of the Feedback Messages
... Based on the consideration above, we extract the positive effects of the feedback messages of each variable node, throughout the iteration decoding process, to replace the prior message in the standard BP ...
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Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM
... (29) wq(n) and waq(n) are the average weighted value of the reactive power components of load currents and updated weight in nth sampling instant and waq1(n)and zaq (n) are the phase “a” weighted amplitude of the ...
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