Logical and connectionist approach to artificial intelligence
2000
Vesely, A. (Ceska Zemedelska Univ., Prague-Suchdol (Czech Republic). Katedra Informacnich Technologii)
Logical and connectionist approaches to artificial intelligence are described and compared. The method of using a priori knowledge for improving convergence and decreasing decision error of a neural network with adaptation algorithm back propagation of error is discussed. In the end, trends in so called new artificial intelligence are summarized.
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