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A model-following type controller with these neural networks is proposed, and two learning methods, the feedforward learning and the recurrent learning, for the controller are investigated from a viewpoint of system identification theories : the equation error method and the output error method.","subitem_description_type":"Abstract"}]},"item_5_full_name_3":{"attribute_name":"\u8457\u8005\u5225\u540d","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"45440","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Yokoyama, Makoto"}]},{"nameIdentifiers":[{"nameIdentifier":"45441","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Toyama, Shigehiro"}]},{"nameIdentifiers":[{"nameIdentifier":"45442","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Ito, Hironaga"}]},{"nameIdentifiers":[{"nameIdentifier":"45443","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Aida, 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