Abstract
The paper presents the second generation artificial neural nets ANN II applied as another paradigm for decision support. The underlying decision selection task is comprehensive evaluation of the social—economic development level of Chinese large cities, which previously supported by conventional knowledge-based approach KB-CEDSS. With the KB-CEDSS generated input-output pairs, the ANNs can be trained to emulate the whole systems function. Some foundamental technologies of ANN design and implementation are discussed and several points on ANN applications are concluded.
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