Research Article

Blood Pressure Classification Using the Method of the Modular Neural Networks

Table 6

Average of the MNN with (traincsg).

PersonTimeSystolicDiastolicPulse

Person 100:17:191157367

Person 200:17:191057277

Person 300:17:191147080

Person 400:17:191197172

Person 500:17:191458475

Person 600:17:191046190

Person 700:17:191258796

Person 800:17:191096473

Person 900:17:191297356

Person 1000:17:191227765

Person 1100:17:191366370

Person 1200:17:191368171

Person 1300:17:191207478

Person 1400:17:191106277

Person 1500:17:191196870

Person 1600:17:191318280

Person 1700:17:191267680

Person 1800:17:191066582

Person 1900:17:191106884

Person 2000:17:191237690

Person 2100:17:191127178

Person 2200:17:191117070

Person 2300:17:191227371

Person 2400:17:191166780

Person 2500:17:191207480

Person 2600:17:191298079

Person 2700:17:191206174

Person 2800:17:191127381

Person 2900:17:191218267

Person 3000:17:19956177

Person 3100:17:191066580

Person 3200:17:191167572

Person 3300:17:191167175

Person 3400:17:191308690

Person 3500:17:191177497

Person 3600:17:191175888

Person 3700:17:191137073

Person 3800:17:191317180

Person 3900:17:191288182

Person 4000:17:191348581