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دسته بندی:
مدیریت بازرگانی - Business Management
سال انتشار:
2016
عنوان انگلیسی مقاله:
Artificial neural networks in business: Two decades of research
ترجمه فارسی عنوان مقاله:
شبکه های عصبی مصنوعی در کسب و کار: دو دهه پژوهش
منبع:
Sciencedirect - Elsevier - Applied Soft Computing Journal, 38 (2016) 788-804. doi:10.1016/j.asoc.2015.09.040
نویسنده:
Michal Tkác 1, Robert Verner ∗
چکیده انگلیسی:
In recent two decades, artificial neural networks have been extensively used in many business applications. Despite the growing number of research papers, only few studies have been presented focusing on
the overview of published findings in this important and popular area. Moreover, the majority of these
reviews were introduced more than 15 years ago. The aim of this work is to expand the range of earlier
surveys and provide a systematic overview of neural network applications in business between 1994 and
2015. We have covered a total of 412 articles and classified them according to the year of publication,
application area, type of neural network, learning algorithm, benchmark method, citations and journal. Our investigation revealed that most of the research has aimed at financial distress and bankruptcy
problems, stock price forecasting, and decision support, with special attention to classification tasks.
Besides conventional multilayer feedforward network with gradient descent backpropagation, various
hybrid networks have been developed in order to improve the performance of standard models. Even
though neural networks have been established as well-known method in business, there is enormous
space for additional research in order to improve their functioning and increase our understanding of
this influential area.
Keywords: Business | Finance | Neural networks | Review
قیمت: رایگان
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