| 摘要 |
Computer implemented machine learning methods are described. A co-operative learning method involves a first rule based system and a second rule based system. A rule base is generated from input data and recursion data is used to recursively update the rule base as a result of newly received input data. Rule data defining at least one rule and associated data are sent to the second system which determines whether to update its rule base using the transmitted rule data, and if so the recursion data is used to recursively determine the updated rules for its rule base. A father machine learning method for a rule based system, involves receiving time series data, determining whether the data increases or decreases the spatial density for previously existing rules, and if so then creating a new cluster and associated rule, otherwise a new cluster is not created. |
