A　fuzzy　neural　network　was　proposed　with　a　supervised　learning　algorithm,　and　fuzzy　logic　control　(FLC)　for　blood　pressure　was　projected　into　the　network.　The　fuzzy　control　rules　were　distributively　stored　in　the　fuzzy　neural　network　as　the　weighing　factors　in　neuron　connexion.　The　supervised　learning　algorithm　was　programmed　for　modification　of　the　weighing　factors,　so　that　SOFNC　using　fuzzy　neural　network　possessed　the　ability　to　modify　the　rules.　The　results　of　simulation　study　showed　that　SOFNC　using　fuzzy　neural　network　was　efficient　for　blood　pressure　control　during　anesthesia.A　fuzzy　neural　network　was　proposed　with　a　supervised　learning　algorithm,　and　fuzzy　logic　control　(FLC)　for　blood　pressure　was　projected　into　the　network.　The　fuzzy　control　rules　were　distributively　stored　in　the　fuzzy　neural　network　as　the　weighting　factors　in　neuron　connection.　The　supervised　learning　algorithm　was　programmed　for　modification　of　the　weighting　factors,　so　that　SOFNC　using　fuzzy　neural　network　possessed　the　ability　to　modify　the　rules.　The　results　of　simulation　study　show　that　SOFNC　using　fuzzy　neural　network　is　efficient　for　blood　pressure　control　during　anesthesia.