Artificial Intelligence Computational Intelligence and Opportunities

Abstract

With the aid of transfer learning, new and old issues may be solved more quickly and efficiently. In contrast to traditional machine learning techniques, transfer learning techniques use the knowledge amassed from data in related domains to enable predictive modelling made up of various data patterns in the present domain. Computational intelligence has lately been used in transfer learning to enhance the effectiveness of current transfer learning techniques and manage the knowledge transfer process in real-world systems. The four main categories of related technique developments are: (a) neural network-based transfer learning; (b) Bayes-based transfer learning; (c) fuzzy transfer learning; and (d) applications 2of computational intelligence-based transfer learning. This chapter systematically examines computational intelligence-based transfer learning techniques. This survey will directly assist researchers and practitioners in understanding the advancements in computational intelligence-based transfer learning research and applications by giving state-of-the-art information.

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