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Titlebook: Neural Information Processing; 16th International C Chi Sing Leung,Minho Lee,Jonathan H. Chan Conference proceedings 2009 Springer-Verlag B

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RL-Based Memory Controller for Scalable Autonomous Systems holistic search for the whole memory contents, the controller adopts associated feature analysis to produce the most likely relevant action from previous experiences. Actor-Critic (AC) learning is used to adaptively tuning the control parameters, while on-line variant of Random Forest (RF) learner
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A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Predictionl methods e.g. multiple linear regression and moving average, and neural network with the Multi Layer Perceptron which has shown its supremacy in time-series prediction. In this study, we used a different approach based on evolving clustering algorithm with polynomial regressions to find repeating l
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A Multi-strategy Differential Evolution Algorithm for Financial Prediction with Single Multiplicativ control parameters for each individual happens every learning period. Thus the user gains the benefits of different strategies without difficult fine tuning of control parameters. The performance of the proposed MDE algorithm is evaluated on well-known benchmark functions and is superior to some ot
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Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem approaches are limited to a single objective only, and often fail to meet the requirements for real-world applications. To date, there are only a few multi-objective FLP approaches have been proposed. However, they are implemented using weighted sum method and inherit the customary problems of this
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