Fuzzy Knowledge Incorporation into Neural Networks
Yaochu Jin · Studies in fuzziness and soft computing · 2003
Conventional neural network learning algorithms use data as the only source of knowledge, no matter whether the supervised, the unsupervised or the reinforcement learning is employed. This is due to the fact that the conventional learning algorithms are derived from statistics or probability theory, both of which are strongly dependent on data samples.