In　order　to　adjust　the　structure　and　parameter　of　a　fuzzy　neural　network　simultaneously,　a　growing　fuzzy　neural　network　based　on　the　unscented　Kalman　filter(UKF)　method　is　proposed.　Firstly,　the　UKF　method　is　used　to　adjust　the　parameters　of　the　fuzzy　neural　network.　Then,　a　growing　mechanism,　using　the　output　intensity　of　hidden　neurons,　is　designed　for　self-organizing　the　fuzzy　rules,　and　the　structure　of　fuzzy　neural　networks　can　grow　in　the　learning　process.　Finally,　the　proposed　growing　fuzzy　neural　network　is　used　to　model　a　nonlinear　system.　The　experimental　results　show　that　the　proposed　growing　fuzzy　neural　network　is　able　to　adjust　the　structure　and　parameters　simultaneously,　as　well　as　with　suitable　modeling　accuracy.　©　2017,　Editorial　Office　of　Control　and　Decision.　All　right　reserved.