Latvian Maritime academy
Latvian Maritime academy Latvian Maritime academy
Predicted & Actual Values of CO 2, %Predicted & Actual Values of NOx, ppmEngine SpeedEffectivePower, kWSFC, g/kWhSteam RatioEGR RatioNO x , ppmCO 2 , %Input Layer Hidden Layer Output LayerFigure 2. Multilayer neural network structure of BP800700ExperimentalNN (BP)60050040030020010000 10 20 30 40 50 60 70 80Experimental Data NumberFigure 3. Comparison of predicted output and measured values of NOx222018ExperimentalNN (BP)16141210860 10 20 30 40 50 60 70 80Experimental Data NumberFigure 4. Comparison of predicted output and measured values of CO 224
Predicted & Actual Values of SFC, g/kWhPredicted & Actual Values of Effective Power, kW1413ExperimentalNN (BP)12111098760 10 20 30 40 50 60 70 80Experimental Data NumberFigure 5. Comparison of predicted output and measured values of Effective Power360340ExperimentalNN (BP)3203002802600 10 20 30 40 50 60 70 80Experimental Data NumberFigure 6. Comparison of predicted output and measured values of SFCSo as to illustrate, NN structures performance Root Mean squared error (RMSE) and Mean AbsolutePercentage Error (MAPE) were used. They are formulated as follows:where, n is the number of samples and x i and y i are the values of the i th samples in x and y,respectively.(2)(3)where, f i is the predicted value, y i is the actual value, n is the number of pattern.In this context, in order to compare network performance of BP, Mean Absolute Percentage Error(MAPE) and RMSE (Root Mean Squared Error) were used. Analysis results are shown in the Table 2.(4)25
- Page 1 and 2: ESTONIAN MARITIME ACADEMYLATVIAN MA
- Page 3 and 4: CONTENTSRoberts GailītisASSESSMENT
- Page 5 and 6: 1. The aim of research and methodol
- Page 7 and 8: Figure 2. Age structure of merchant
- Page 9 and 10: their maritime education, takes dec
- Page 11 and 12: Therefore it can be concluded that
- Page 13 and 14: MULTI ZONES HVAC SYSTEMS’ CONTROL
- Page 15 and 16: Figure 1. Multi-zone air-conditioni
- Page 17 and 18: The control mechanism of the mathem
- Page 19 and 20: Results and discussionThe temperatu
- Page 21 and 22: PREDICTION OF EMISSIONS AND PERFORM
- Page 23: In order to measure brake torque, t
- Page 27 and 28: 8. Canakci, M., Ozsezen, A.N., Arca
- Page 29 and 30: It is appropriate to systemize the
- Page 31 and 32: Protestant ideology as an eventual
- Page 33 and 34: thinking is innovative, responsible
- Page 35 and 36: 17. Professoren-Protest gegen 10 Ja
- Page 37 and 38: affected by competing ports [2]. Ne
- Page 39 and 40: Tendencies of cargo flows volume an
- Page 41 and 42: increase, inflation decreases, beca
- Page 43 and 44: 4. Belova, J., Mickiene, R. Economi
- Page 45 and 46: Description of researchIf volume co
- Page 47 and 48: p p 1 10(11)C021Here, C1is a speed
- Page 49 and 50: Figure 4. Dependence of pressure on
- Page 51 and 52: EXPERIMENTAL INVESTIGATIONS OF IC D
- Page 53 and 54: Figure 2. Prototype of variable geo
- Page 55 and 56: 4. Experimental equipment and softw
- Page 57 and 58: Figure 6. Dependence of main indice
- Page 59 and 60: Figure 8. Dependence of main indice
- Page 61 and 62: DEVELOPMENT AND APPLICATION OF SIMU
- Page 63 and 64: program was developed regarding the
- Page 65 and 66: F11: High sea water pressure alarmF
- Page 67 and 68: In the main interface as given in F
- Page 69 and 70: Figure 7. Failure mode selection sc
- Page 71 and 72: Figure 11. Causes of failure select
- Page 73 and 74: 6. Xiaoyan, X., Min, H., Huayao, Z.
Predicted & Actual Values of CO 2, %Predicted & Actual Values of NOx, ppmEngine SpeedEffectivePower, kWSFC, g/kWhSteam RatioEGR RatioNO x , ppmCO 2 , %Input Layer Hidden Layer Output LayerFigure 2. Multilayer neural network structure of BP800700ExperimentalNN (BP)60050040030020010000 10 20 30 40 50 60 70 80Experimental Data NumberFigure 3. Comparison of predicted output and measured values of NOx222018ExperimentalNN (BP)16141210860 10 20 30 40 50 60 70 80Experimental Data NumberFigure 4. Comparison of predicted output and measured values of CO 224
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