Wyniki wyszukiwania:

The problem of constructing an optimal portfolio of securities under uncertainty is considered. The main objective of portfolio investment is to improve the investment environment, giving securities such investment characteristics that are only possible in their combination. The global market crisis of recent years has shown that the existing theory of investment portfolios optimization exhausted and revision of the basic theory of portfolio management is needed. Therefore in this work the novel theory of investment portfolio optimization under uncertainty is presented based on fuzzy set...

This monograph is devoted to the consideration of new deep neural networks – Evolving Hybrid Stacking Neuro-Neo-Fuzzy Systems of Artificial Intelligence based on Group Method of Data Handling, which, in turn, is the first known method of deep learning. This method is based on the principle of self-organization and, unlike in other deep learning methods, it allows not only to adjust the weights of neural connections, but also to synthesize the optimal network structure in online mode. The proposed approach allows you to process information in online mode and solve a wide class of Data Stream...

This book is devoted to the problems of information technologies (IT) and artificial intelligence methods applied to medical image processing, tumour detection and cancer classification in different human organs, including the breasts, lungs and brain. The most efficient modern tools in the problem of medical images processing and analysis are considered- convolutional neural networks (CNN). The main goal of this book is to present and analyze new perspective architectures of CNN aimed to increase accuracy of cancer classification. This book contains new approaches for improving efficiency of...