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The mobile phone manufacturers in Taiwan have made great efforts in proposing the rational quotations to the international phone companies with the ambition to win the bids by out beating other phone manufacturers. However, there are a lot of uncertainties and issues to be resolved in estimating the manufacturing costs for mobile phone manufacturers. As far as we know, there is no existing model which...
This paper proposes a Batch Support Vector Machine-Trained Fuzzy Classifier (BSVM-FC). The BSVM-FC is a fuzzy system that consists of Takagi-Sugeno (TS)-type fuzzy rules. For structure learning of the BSVM-FC, there are no fuzzy rules initially. The BSVM-FC online generates all rules according to distributions of training data. A linear support vector machine (SVM) is used to tune the rule consequent...
The brassiere-wearing effect is produced by the combined action of body shape and brassiere. The process is so complicated that it is an issue for people to realize what functions the different factors perform in the change of bust appearance. In this research, an artificial neural network model was applied, in which the input neurons contained 11 possible factors including body measurements and brassiere...
Using particle swarm optimization (PSO) to optimize BP neural network model is proposed in this paper. The new model is more quickly and accurate. The basic idea of this model is: Firstly PSO is used to optimize the BP neural network's initialized weights, an optimized result is got; then based on the optimized result the BP neural network is used for further optimization. We can use this model for...
Because artificial neural network possesses powerful capabilities in filtering and learning adaptability and functions of multi-I/O, thus, this method is expected to be more efficient than those of classical statistics modeling constructs. In the domain of artificial neural network, probabilistic neural network demonstrates broader and much more generalized capabilities, as of now, the latter has...
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