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For a given electro-mechanical product, represented using assembly models and function structures, the assembly time (AT) and market value (MV) are influenced by complexity of the product. Given the AT and MV of a set of known products, complexity values can be used to predicted AT and MV for a set of unknown products using an Artificial Neural Network. This paper presents a precision analysis of...
This study applies the artificial neural network technique to explore the influence of the patent performance upon the market value of the pharmaceutical companies in US. The result shows that Herfindahl-Hirschman Index of patents has the negative influence upon the market value of the pharmaceutical companies in US, and the technological independence has the positive influence upon their market value...
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