convergence speed
Designing Prediction Markets to Achieve Convergence Speed
... Figure 2 shows the relationship between the number of steps to convergence and the number of traders over 100 simulations. We observe that the number of traders participating in the prediction markets has no ...
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On the convergence speed of artificial neural networks in the solving of linear systems
... are adjusted n times. However the quasi-Newton technique updates the given wights in each learn- ing stage only one time. Moreover, in the steep- est descent method the learning rate η is given by user. This means that ...
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A Novel Adaptive Chaotic Bacterial Foraging Optimization Algorithm
... asymptotic convergence, easy to jump out of local minima and fast convergence speed, nowadays it is widely used in various kinds of optimization algorithms to improve their optimization performances ...
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An Improved LCMV Beamforming Algorithm in Multi beam Bathymetry Sonars
... the convergence speed is ...affects convergence speed is the ratio of the maximum and minimum eigenvalues of the input ...the convergence speed is more ...
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DEVELOPMENT OF A MODIFIED PARTICLE SWARM OPTIMIZATION BASED CULTURAL ALGORITHM FOR SOLVING UNIVERSITY TIMETABLING PROBLEM
... slow convergence speed and high computational complexity are one of drawbacks limiting the efficiency of the existing timetabling ...high convergence speed was developed for solving university ...
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Particle swarm optimization for neural network learning enhancement
... 7 activation/transfer function. All these elements will affect the convergence of NN learning. As mentioned before, GA can be used to determine some parameters and provide the best pattern of weight in order to ...
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Discrete predictive optimal ILC implemented on a non minimum phase experimental testbed
... Figures 2 and 3 show results obtained for a sinewave and a repeating sequence demand. The total error incurred during each trial over the course of 200 iterations is plotted against the trial number in each case. The ...
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Strategy of Repairing Coverage Hole for Different Holes Shapes in Heterogeneous Wireless Sensor Networks
... the convergence speed of the algorithm and avoid excessive redundant coverage, the point where the center of gravity of concave polygons is too close to Cip is treated as the covered area, and there is no ...
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A Variable Selection Method for Pulverizing Capability Prediction of Tumbling Mill Based on Improved Hybrid Genetic Algorithm
... According to the best individual obtained by the proposed method, we could determine the process variables for the prediction model of the pulverizing capability and the model built with the selected va- riables would ...
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An Improvement of Empirical Risk Functional in Neuro-Fuzzy Classifier
... Abstract – This paper suggests a new method to improve of Empirical Risk Functional . Empirical Risk Functional acts as cost function for training neuro-fuzzy classifiers. Empirical risk minimization seeks the function ...
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Hybrids of Ant Colony Optimization Algorithm- A Versatile Tool
... Abstract - Ant Colony Optimization Algorithm is a meta-heuristic, multi-agent technique that can be applied for solving difficult NP-Hard Combinatorial Optimization Problems like Traveling Salesman Problem (TSP), Job ...
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Embodied learning by investing and speed of convergence
... the convergence speed, arguing that a number of econometric issues, like endogeneity of explanatory variables and country-specific fixed effects, have been ...the speed of convergence ...
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Subband Affine Projection Algorithm for Acoustic Echo Cancellation System
... the convergence speed of the subband adaptive filter (SAF) is improved by the weight up- dating with prewhitened inputs that result from the ...fast convergence and efficient implementation, there has ...
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Review On Adaptive Blind Channel Estimation Using LMS Based Techniques In OFDM Systems
... the convergence speed, step size, and single ...The convergence speed of LMS is fast for large step size ...fast convergence and steady state ...the convergence speed and ...
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Embodied learning by investing and speed of convergence
... asymptotic speed of convergence closer to the empirical estimate of 2% a year found by Barro and Sala-i-Martin (1992) and Mankiw et ...the convergence speed, arguing that a number of ...
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Fixed point problems of the Picard-Mann hybrid iterative process for continuous functions on an arbitrary interval
... [, ]. Under the suitable conditions, they proved that (.) iteration method converges to a fixed point of continuous function f on an arbitrary interval E ⊂ R. Moreover, they also compared the convergence ...
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FUZZY LOGIC TECHNIQUE FOR HIGH IMPEDANCE FAULT DETECTION IN DISTRIBUTION FEEDER
... This feature has been selected after tests and comparisons between the performance of neural networks (generalization, simplicity, efficiency and convergence speed) and [r] ...
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A Fast Fixed Point Continuation Algorithm with Application to Compressed Sensing
... the convergence speed of FPC ...the convergence speed is ...the convergence of FFPC algorithm is proven, the convergence speed of FFPC algorithm is obviously improved ...
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Hybrid Data Model Parallel Training for Sequence to Sequence Recurrent Neural Network Machine Translation
... HybridNMT converges faster compared with other methods. This, in addition to Table 3, im- plies that HybridNMT is better than other methods in terms of training and convergence speed. Other findings: data ...
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Study of 3G/4G Network Convergence Planning Scheme in High Speed Railway
... From the link budget, uses suburban model, when biggest uplink permitted path loss is 121 dB, the antenna height of terminal MS is 1.5 m, and the antenna heights of base station BTS are 30 m, 20 m and 10 m, the coverage ...
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