Titlebook: Advances in Natural Computation; Second International Licheng Jiao,Lipo Wang,Feng Wu Conference proceedings 2006 Springer-Verlag Berlin Hei

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https://doi.org/10.1007/978-3-658-40783-4ticle swarm optimization algorithm (SAPSO) is proposed, and it is used to optimize topology structure of multi-layer feedback forward neural network for classification of hatching eggs. Trained and tested by a great deal of samples, a reasonable neural network model is obtained. Its performance is m

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Sparkling Wine Quality Control,f the network output. In addition, the original learning scheme of CMAC may corrupt the previous learning data. A control scheme, which parallely combines the fuzzy CMAC (FCMAC) and PID, is proposed in the paper. The weights are updated according to the credits which are assigned to the hypercubers

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Ioana Culic,Alexandru Radovici,Cristian Rusuto represent each category in a binary string format and a binary classifier is assigned to each bit in the string. Our strategy outperforms the existing approaches in the prior knowledge requirement, the number of binary classifiers, computation complexity, storage requirement, decision boundary co

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