gradient-descent based algorithm
Blind Adaptive Equalization for Channel Noise Cancellation
... Modulus Algorithm and Newton Method is used for mathematical ...a gradient descent based algorithm is used with the blind adaptation ...used gradient descent based ...
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Block Coordinate Descent for Sparse NMF
... A gradient descent-based algorithm called Nonnegative Matrix Factorization with Sparse- ness Constraints (NMFSC) to solve SNMF was proposed [14].. Multiplicative updates[r] ...
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Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning
... reconstruction algorithm, which achieved improved results in the case of both full-view and limited-view scanning ...the algorithm on limited-view scanning based on ...steepest- ...
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Analysis Of Line To Ground Fault In Transformer By Elman’S Network Using Gradient Descent Back Propagation Algorithm
... The gradient algorithm is based on conjugate directions, as in traincgp, traincgf, and traincgb, but this algorithm does not perform a line search at each ...
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A New Rule-weight Learning Method based on Gradient Descent
... One of the parameters needed by the algorithm is υ. It can take just a fixed value for i or may vary among different rules using some heuristics; for example, it may be proportional to the no. of right-class ...
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Blind chip-rate equalisation for DS-CDMA downlink receiver
... The adaptation algorithm is based on a constant modulus criterion forcing the various user symbols onto a constant modulus, for which a stochastic gradient descent algorithm is derived..[r] ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... using gradient descent algorithm such back propagation algorithm (BP) with a longer convergence time and more probability to fall into local ...colony algorithm, as a global ...
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Optical Character Recognition using Neural Network
... network based character recognition system using multi layered feed forward neural ...propagation algorithm is used to train the multi layered feed forward neural ...network. Gradient descent ...
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The Effect of Adaptive Gain and Adaptive Momentum in Improving Training Time of Gradient Descent Back Propagation Algorithm on Classification Problems
... techniques, based on studies of properties of the conventional back propagation ...propagation algorithm based on extrapolation of each individual interconnection ...propagation algorithm is ...
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Performance Evaluation of Neural Network based Cognitive eNodeB in LTE Uplink
... with gradient descent (GD) and Levenberg Marquardt (LM) training algorithm based framework is used to improve inter cell interference coordination (ICIC) and radio resource management (RRM) in ...
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A Fast Iterative Algorithm Based on the Wirtinger Flow for Phase Retrieval
... input-output algorithm [2] and its improved algorithm ...(WF) algorithm is introduced to guarantee signal recovery via a simple gradient descent scheme ...(RWF) algorithm was ...
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SAR Images Co registration Based on Gradient Descent Optimization
... traditional descent approaches depending on approximations of gradient's finite difference are quite ...process based on the optimization method requests a pre-defined measurement for congruency ...
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Non-Linear Gradient Descent Algorithm for Smart Antennas
... nonlinear gradient descent method which generates a descent search direction at every ...nonlinear gradient descent method based on the study of Dai and Yuan and show that this ...
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Guided Stochastic Gradient Descent Algorithm for inconsistent datasets
... The comparative experimental results have been carried out between guided and original versions of the SGD algorithms. SGD has been tested against GSDG and similarly, Adadelta, Adagrad, Adam, Momentum, Nesterov, RMSprop ...
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The effect of adaptive gain and adaptive momentum in improving training time of Gradient Descent back propagation algorithm on classification problems
... techniques, based on studies of properties of the conventional back propagation ...propagation algorithm based on extrapolation of each individual interconnection ...propagation algorithm is ...
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Solution of the Nonlinear Least Squares problem using a new Gradient Based Genetic Algorithm
... new Gradient Descent based Genetic Algorithm (GDGA) is proposed and used to solve benchmark Nonlinear Least Squares (NLS) ...calculated gradient to perform a gradient ...
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Boosting Techniques for Nonlinear Time Series Models
... function gradient descent algorithm improves upon likelihood based boosting applied to nonlinear autoregressive times series models (Shafik and Tutz, 2009) in two ...functional gradient ...
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An Efficient Algorithm to Analyse the Cost Sensitive Measures on Datasets
... efficient algorithm to analyse the cost sensitive measure is ...sensitive gradient descent algorithm and constraint based gravitational search algorithm is ...proposed ...
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Sparse Communication for Distributed Gradient Descent
... An orthogonal line of work optimizes the SGD algorithm and communication pattern. Zinke- vich et al. (2010) proposed an asynchronous ar- chitecture where each node can push and pull the model independently to ...
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Accelerated Mann and CQ algorithms for finding a fixed point of a nonexpansive mapping
... Picard algorithm to the smooth convex minimization problem and point out that the Picard algorithm is the steepest descent method for solving the minimization ...Picard algorithm by using the ...
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