Quality prediction model has been developed in various industries to realize the faultless manufacturing. However, most of quality prediction model is developed in single-stage manufacturing. Previous studies show that single-stage quality system cannot solve quality problem in multi-stage manufacturing effectively. This study is intended to propose combination of multiple PCA+ID3 algorithm to ...

To understand the brain mechanisms involved in reward prediction on different time scales, we developed a Markov decision task that requires prediction of both immediate and future rewards, and analyzed subjects’ brain activities using functional MRI. We estimated the time course of reward prediction and reward prediction error on different time scales from subjects' performance data, and used ...

Consider the problem of joint parameter estimation and prediction in a Markov random field: that is, the model parameters are estimated on the basis of an initial set of data, and then the fitted model is used to perform prediction (e.g., smoothing, denoising, interpolation) on a new noisy observation. Working under the restriction of limited computation, we analyze a joint method in which the ...

Purchasing goods or services produced in United States would force Indonesian company or investor to purchase U.S. dollar, and vice versa. The drastically changes of the foreign exchange rate between Indonesian rupiah and U.S. dollar would significantly affect the good’s price. Those facts motivated many studies focused on the exchange rate prediction. Various algorithms have been developed in ...

Protein-ligand docking is a computational method to identify the binding mode of a ligand and a target protein, and predict the corresponding binding affinity using a scoring function. This method has great value in drug design. After decades of development, scoring functions nowadays typically can identify the true binding mode, but the prediction of binding affinity still remains a major prob...

Existing value reuse and prediction schemes use a hardware prediction table or reuse buffer to store an instruction’s value history based on its program. The result cache [17], on the other hand, has been proposed to exploit operand value locality by reusing the output values produced by any instruction of the same type that has been executed previously using the same input operands. However, d...

Accurate prediction of demand is the key to reduce the cost of inventory for an enterprise in Supply Chain. Based on recurrent neural networks, a new prediction model of demand in supply chain is proposed. The learning algorithm of the prediction is also imposed to obtain better prediction of time series in future. In order to validate the prediction performance of recurrent neural networks, a ...

While it is clear that many brain areas process mnemonic information, understanding how their interactions result in continuously adaptive behaviors has been a challenge. A homeostatic-regulated prediction model of memory is presented that considers the existence of a single memory system that is based on a multilevel coordinated and integrated network (from cells to neural systems) that determ...

Tumor protein P53 is believed to be involved in over half of human cancers cases, the prediction of malignancies plays essential roles not only in advance detection for cancer, but also in discovering effective prevention and treatment of cancer, till now there isn't approach be able in prediction the mutated in tumor protein P53 which is caused high ratio of human cancers like breast, Blood, s...