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Traditional method of tender offer is subjective and arbitrary, and the ARIMA Accuracy can't satisfy the tenderer. We have combined the Elman NN with the SVM model to establish a new hybrid optimization algorithm, which are presented to the bidding tender offer in a project. Experimental results show that agents adopting the strategy outperform agents using other strategies reported in the literature...
Fast convergence-rate, low computation complexity and good stability are important goals in the researching area of neural network learning algorithm. A kind of parallel computing lagged-start hybrid optimization algorithm is studied, it not only integrates the basic gradient method and the unconstrained optimization algorithm to realize the supplement of their advantages, but also makes full use...
This paper proposes a class of loan portfolio models in fuzzy random environments based on primitive chance, equilibrium chance, and mean chance, respectively. In the models, the return rates of loan portfolio are all characterized as fuzzy random variables. A hybrid optimization algorithm based on fuzzy random simulation is designed to solve these models. In the algorithm, fuzzy random simulation...
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