Neural network plants location

Key words clothing manufacture, artificial neural network, plant location. 

Second, Reinhardt and Hubbard (1998) performed a prediction using neural networks. From some statistical consideration, they selected three locations for prokaryotes (cytoplasmic, extracellular, and periplasmic) and four locations for eukaryotes, excluding plants (cytoplasmic, extracellular, mitochondrial, and nuclear). They did not include the membrane proteins because they can be distinguished rather reliably using existing methods. One potential problem of their analysis is that they only excluded sequence pairs with more than 90% identity. Nevertheless, the distinctions between pairs of groups were rather clear. The high accuracy between nuclear and cytoplasmic proteins was especially impressive. 

The proposed decision model for classifying clothing plant location irsing neural networks can be separated into two sequential phases the learning (preference... 

Gaber, M.T. and Benjamin, C.O., 1992. Classifying US manufacturing plant locations using an artificial neural network. Computers and Industrial Engineering, 23, 101-104. 

Selecting the location of apparel manufacturing plants using neural networks... 

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