network variables

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1: int i = 0 , j = 0 , k = 0 , x = 0 , y = 0 , n = 0 ; 2: 3: double weight_1 [ 100 ] , i_weight_1 [ 100 ] ; 4: double weight_2 [ 100 ] , i_weight_2 [ 100 ] ; 5: double weight_3 [ 100 ] , i_weight_3 [ 100 ] ; 6: double weight_4 [ 100 ] , i_weight_4 [ 100 ] ; 7: double bias [ 100 ] , i_bias [ 100 ] ; 8: 9: double delta_o [ 100 ] ; 10: double delta_h1 [ 100 ] ; 11: double delta_h2 [ 100 ] ; 12: 13: double weighted_sum_1 [ 100 ] ; 14: double weighted_sum_2 [ 100 ] ; 15: 16: double out_sum_1 [ 100 ] ; 17: double out_sum_2 [ 100 ] ; 18: double out_sum_3 [ 100 ] ; 19: 20: double net_out_1 [ 100 ] ; 21: double net_out_2 [ 100 ] ; 22: 23: double cal_output [ 100 ] [ 1 ] ; 24: double error [ 100 ] ; 25: 26: double o_layer_1 [ 100 ] ; 27: double o_layer_2 [ 100 ] ; 28: 29: double H_layer_3 [ 100 ] ; 30: double H_layer_4 [ 100 ] ; 31: 32: double H_layer1 [ 100 ] [ 100 ] ; 33: double H_layer2 [ 100 ] [ 100 ] ; 34: 35: double j_bias1 [ 100 ] ; 36: double j_bias2 [ 100 ] ; 37: double j_bias3 [ 100 ] ; 38: 39: double jac [ 100 ] [ 100 ] ; 40: double SSE_1 , squared_error_sum_1 ; 41: double SSE_2 , squared_error_sum_2 ; 42: 43: 44: double output_var = 0.0 ; 45: double hidden_neuron = 0.0 ; 46: double input_var = 0.0 ; 47: double output_neuron = 0.0 ; 48: double alpha = 0.0 ; 49: double gamma = 0.0 ; 50: double beta = 0.0 ; 51: double eucl_norm_1 = 0.0 , eucl_norm_2 = 0.0 ; 52: double eucl_sum_1 = 0.0 , eucl_sum_2 = 0.0 ; 53: 54:

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neural network variable description

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  • 1: int i=0 ,j=0 ,k=0 ,x=0 ,y=0 ,n=0 ;2: 3: double weight_1[100] , i_weight_1[100] ;4: double weight_2[100] , i_weight_2[100] ;5: double weight_3[100] , i_weight_3[100] ;6: double weight_4[100] , i_weight_4[100] ;7: double bias[100] , i_bias[100] ;8: 9: double delta_o[100] ;10: double delta_h1[100] ;11: double delta_h2[100] ;12: 13: double weighted_sum_1[100] ;14: double weighted_sum_2[100] ;15: 16: double out_sum_1[100] ;17: double out_sum_2[100] ;18: double out_sum_3[100] ;19: 20: double net_out_1[100] ;21: double net_out_2[100] ;22: 23: double cal_output[100][1] ;24: double error[100] ;25: 26: double o_layer_1[100] ;27: double o_layer_2[100] ;28: 29: double H_layer_3[100] ;30: double H_layer_4[100] ;31: 32: double H_layer1[100][100] ;33: double H_layer2[100][100] ;34: 35: double j_bias1[100] ;36: double j_bias2[100] ;37: double j_bias3[100] ;38: 39: double jac[100][100] ;40: double SSE_1 , squared_error_sum_1 ;41: double SSE_2 , squared_error_sum_2 ;42: 43: 44: double output_var=0.0 ;45: double hidden_neuron=0.0 ;46: double input_var=0.0 ;47: double output_neuron=0.0 ;48: double alpha=0.0 ; 49: double gamma=0.0 ;50: double beta=0.0 ;51: double eucl_norm_1=0.0 , eucl_norm_2=0.0 ;52: double eucl_sum_1=0.0 , eucl_sum_2=0.0 ;53: 54:

  • 55: 56: 57: 58: 59: double res_input[38][5]= {60: {1 , 0.726978302 , 0 , 0.15081969 , 0.497102885 } ,61: {0.738190295 , 0.044882913 , 0.041939 , 0.15157212 , 0.506478077 } ,62: {0.457142767 , 0.135742113 , 0.460758845 , 0.146202713 , 0.323437584 } ,63: {0.507263341 , 0.154600858 , 0.230656482 , 1 , 0.34927384 } ,64: {0.65567219 , 0.079992148 , 0.072983113 , 0.035923616 , 0.517397959 } ,65: {0.216210418 , 0 , 0.056172572 , 0 , 0.437813375 } ,66: {0.605999728 , 0.412670429 , 0.138587843 , 0.197374139 , 0.615565816 } ,67: {0.515776355 , 0.383126387 , 0.180959454 , 0.094676873 , 0.417716404 } ,68: {0.168770836 , 0.265124318 , 0.029435872 , 0.234095854 , 0.72036534 } ,69: {0.535417809 , 0.118128092 , 0.162845196 , 0.058997277 , 0.376705499 } ,70: {0.465041763 , 0.446143547 , 0.461754807 , 0.952953274 , 0.597229065 } ,71: {0 , 0.29346 , 0.015595908 , 0.192246589 , 1 } ,72: {0.354642867 , 0.17191264 , 0.764082261 , 0.389038101 , 0.567717547 } ,73: {0.229349936 , 0.469428637 , 0.148845066 , 0.036305158 , 0.488204517 } ,74: {0.243751413 , 0.321612135 , 0.32198718 , 0.172037429 , 0.633288069 } ,75: {0.609058326 , 0.448927547 , 0.126781576 , 0.215409924 , 0.623630249 } ,76: {0.426609929 , 0.438948347 , 0.442100159 , 0.079144599 , 0.335883329 } ,77: {0.34238268 , 0.391599567 , 0.535322619 , 0.569427425 , 0.204904221 } ,78: {0.616723331 , 0.219273993 , 0.094652072 , 0.089257316 , 0.510405811 } ,79: {0.546122064 , 0.469097644 , 0.159797535 , 0.064875473 , 0.488132924 } ,80: {0.570131665 , 0.480924467 , 0.155460928 , 0.287751137 , 0.428664324 } ,81: {0.484973279 , 0.166632664 , 0.381086825 , 0.072922429 , 0.555179811 } ,82: {0.440081992 , 0.063920578 , 0.388421128 , 0.074246661 , 0.59400034 } ,83: {0.423368244 , 0.018664149 , 0.584685929 , 0.323947324 , 0 } ,84: {0.374031641 , 0.264276285 , 0.93797351 , 0.217086114 , 0.485841645 } ,85: {0.431476149 , 0.498339446 , 0.356321395 , 0.368735954 , 0.206976849 } ,86: {0.473697125 , 0.274008519 , 0.431381477 , 0.877458962 , 0.528233544 } ,87: {0.436769002 , 0.218840766 , 0.347676798 , 0.268093994 , 0.219472168 } ,88: {0.418264984 , 0.299609836 , 0.766601535 , 0.121600123 , 0.44302374 } ,89: {0.400904952 , 0.05235283 , 1 , 0.340679728 , 0.181279901 } ,90: {0.497589547 , 0.819981557 , 0.288296515 , 0.767744569 , 0.420889616 } ,91: {0.446164496 , 0.620988317 , 0.436773359 , 0.042175294 , 0.407010707 } ,92: {0.41160116 , 0.072555099 , 0.925631356 , 0.154031278 , 0.505051688 } ,93: {0.605407242 , 0.43246829 , 0.147951227 , 0.175811383 , 0.388661793 } ,94: {0.610628495 , 0.664782514 , 0.111632126 , 0.268895877 , 0.489272589 } ,95: {0.496392477 , 0.332687496 , 0.329464339 , 0.178245283 , 0.46745684 } ,96: {0.512383843 , 0.156443647 , 0.19800586 , 0.481775011 , 0.458749131 } ,97: {0.517186897 , 1 , 0.169043333 , 0.122050269 , 0.39674058 } ,98: } ;99: 100: 101: double res_output[38][1]= { 102: {0.000000000 } ,103: {0.009933743 } ,104: {0.015344806 } ,105: {0.026409219 } ,106: {0.039654209 } ,107: {0.052010816 } ,108: {0.081812044 } ,

  • 109: {0.104021631 } ,110: {0.160958937 } ,111: {0.135680389 } ,112: {0.152801962 } ,113: {0.112824704 } ,114: {0.234694768 } ,115: {0.245597656 } ,116: {0.220238345 } ,117: {0.256904355 } ,118: {0.341381549 } ,119: {0.334920579 } ,120: {0.314891569 } ,121: {0.379339753 } ,122: {0.320544918 } ,123: {0.3274097 } ,124: {0.345419656 } ,125: {0.434904103 } ,126: {0.420851491 } ,127: {0.402760773 } ,128: {0.374817074 } ,129: {0.366983147 } ,130: {0.360279889 } , 131: {0.32401769 } ,132: {0.375463171 } ,133: {0.412371467 } ,134: {0.564446569 } ,135: {0.687851113 } ,136: {0.714421856 } ,137: {0.9210114 } ,138: {0.773436239 } ,139: {0.999999641 } ,140: } ;141: 142: 143: double com_input[38][6] = { 144: {0.056131519 , 0.29346 , 1 , 0.048748448 , 0 145: , 0.15081969 } ,146: {0.033269161 , 0.265124318 , 0.717590777 , 0.65808468 , 0.041939 ,147: 0.15157212 } ,148: {0 , 0 , 0.432465965 , 0.630366469 , 0.460758845 ,149: 0.146202713 } ,150: {0.010072971 , 0.469428637 , 0.48565836 , 0.588007417 , 0.230656482 , 151: 1 } ,152: {0.017075716 , 0.321612135 , 0.636907753 , 0.111747693 , 0.072983113 , 153: 0.035923616 } ,154: {0.036535304 , 0.391599567 , 0.207161598 , 0.316313977 , 0.056172572 , 155: 0 } ,156: {0.0687237 , 0.17191264 , 0.581359933 , 0.440479248 , 0.138587843 ,157: 0.197374139 } ,158: {0.095753806 , 0.264276285 , 0.502214156 , 0.486116608 , 0.180959454 ,159: 0.094676873 } ,160: {0.13653935 , 0.05235283 , 0.193095541 , 0.450584899 , 0.029435872 ,161: 0.234095854 } ,162: {0.150243875 , 0.072555099 , 0.521495937 , 0.502514498 , 0.162845196 ,

  • 163: 0.058997277 } ,164: {0.168734189 , 0.299609836 , 0.454507824 , 0.498535207 , 0.461754807 ,165: 0.952953274 } ,166: {0.187589271 , 0.018664149 , 0 , 0.450777716 , 0.015595908 , 167: 0.192246589 } ,168: {0.177779841 , 0.438948347 , 0.338092142 , 0.678636224 , 0.764082261 , 169: 0.389038101 } ,170: {0.154917483 , 0.498339446 , 0.205411589 , 0.46775862 , 0.148845066 ,171: 0.036305158 } ,172: {0.121648322 , 0.218840766 , 0.217897318 , 0.460310648 , 0.32198718 ,173: 0.172037429 } ,174: {0.131721293 , 0.063920578 , 0.59872981 , 0.65744639 , 0.126781576 ,175: 0.215409924 } ,176: {0.138724038 , 0.620988317 , 0.41015887 , 0.763973517 , 0.442100159 , 177: 0.079144599 } ,178: {0.158183626 , 0.135742113 , 0.325881319 , 0.139719955 , 0.535322619 ,179: 0.569427425 } ,180: {0.190372022 , 0.446143547 , 0.603836145 , 0.492005123 , 0.094652072 , 181: 0.089257316 } ,182: {0.217402128 , 0.274008519 , 0.533057112 , 0.270669606 , 0.159797535 ,183: 0.064875473 } ,184: {0.258187672 , 0.166632664 , 0.559166859 , 0.856564613 , 0.155460928 , 185: 0.287751137 } ,186: {0.271892197 , 0.332687496 , 0.468950227 , 0.558630434 , 0.381086825 ,187: 0.072922429 } ,188: {0.290382512 , 0.819981557 , 0.420769883 , 0 , 0.388421128 , 189: 0.074246661 } ,190: {0.309237593 , 0.051087188 , 0.401922502 , 0.320142296 , 0.584685929 , 191: 0.323947324 } ,192: {0.315233041 , 0.154600858 , 0.346868704 , 0.460852687 , 0.93797351 , 193: 0.217086114 } ,194: {0.323216015 , 0.172843643 , 0.409802815 , 0.159937019 , 0.356321395 , 195: 0.368735954 } ,196: {0.334079099 , 0.156443647 , 0.457003397 , 0.342622107 , 0.431381477 ,197: 0.877458962 } ,198: {0.351242462 , 0.383126387 , 0.415047324 , 0.844078568 , 0.347676798 ,199: 0.268093994 } ,200: {0.375503307 , 1 , 0.393530115 , 1.000000007 , 0.766601535 ,201: 0.121600123 } ,202: {0.396284046 , 0.118128092 , 0.373101144 , 0.685204795 , 1 , 203: 0.340679728 } ,204: {0.41383731 , 0.469097644 , 0.485848198 , 0.346751598 , 0.288296515 ,205: 0.767744569 } ,206: {0.442748284 , 0.480924467 , 0.425536342 , 0.761121247 , 0.436773359 , 207: 0.042175294 } ,208: {0.530092093 , 0.43246829 , 0.384863149 , 0.471413523 , 0.925631356 ,209: 0.154031278 } ,210: {0.553585832 , 0.412670429 , 0.614338673 , 0.710254913 , 0.147951227 ,211: 0.175811383 } ,212: {0.626338978 , 0.448927547 , 0.622205437 , 0.538162044 , 0.111632126 ,213: 0.268895877 } ,214: {0.724117883 , 0.664782514 , 0.485848198 , 0.534104746 , 0.329464339 ,215: 0.178245283 } ,216: {0.851530721 , 0.219273993 , 0.506826235 , 0.521686813 , 0.19800586 ,

  • 217: 0.481775011 } ,218: {1 , 0.079992148 , 0.513377364 , 0.762939237 , 0.169043333 , 219: 0.122050269 } ,220: } ;221: 222: double com_output[38][1] = {223: {0.007042071 } ,224: {0.014455716 } ,225: {0.020579434 } ,226: {0.021857964 } ,227: {0.019390987 } ,228: {0.030121507 } ,229: {0.044150374 } ,230: {0.071027917 } ,231: {0.139931283 } ,232: {0.109696823 } ,233: {0.141094147 } ,234: {0 } ,235: {0.11202255 } ,236: {0.122100704 } ,237: {0.117061627 } ,238: {0.124620242 } ,239: {0.122875946 } ,240: {0.133535532 } ,241: {0.188577754 } ,242: {0.337230515 } ,243: {0.380450288 } ,244: {0.451191172 } ,245: {0.474448449 } ,246: {0.56263229 } ,247: {0.553135569 } ,248: {0.500612885 } ,249: {0.501388128 } ,250: {0.471347479 } ,251: {0.450803551 } , 252: {0.417661931 } ,253: {0.491116164 } ,254: {0.536855475 } ,255: {0.680856781 } ,256: {0.768653002 } ,257: {0.907033799 } ,258: {0.921181976 } ,259: {0.773924833 } ,260: {1 } ,261: 262: } ;263: 264: 265: double ind_input [38][6]= {266: {0 , 0.29346 , 1 , 0.048748448 , 0 267: , 0.15081969 } ,268: {0.114893617 , 0.265124318 , 0.717590777 , 0.65808468 , 0.041939 269: , 0.15157212 } ,270: {0.178723404 , 0 , 0.432465965 , 0.630366469 , 0.460758845

  • 271: , 0.146202713 } ,272: {0.259574468 , 0.391599567 , 0.48565836 , 0.588007417 , 0.230656482 273: , 1 } ,274: {0.264680851 , 0.469428637 , 0.636907753 , 0.111747693 , 0.072983113 275: , 0.035923616 } ,276: {0.297021277 , 0.321612135 , 0.207161598 , 0.316313977 , 0.056172572 277: , 0 } ,278: {0.376170213 , 0.17191264 , 0.581359933 , 0.440479248 , 0.138587843 279: , 0.197374139 } ,280: {0.402553191 , 0.264276285 , 0.502214156 , 0.486116608 , 0.180959454 281: , 0.094676873 } ,282: {0.41787234 , 0.05235283 , 0.193095541 , 0.450584899 , 0.029435872 283: , 0.234095854 } ,284: {0.428085106 , 0.218840766 , 0.521495937 , 0.502514498 , 0.162845196 285: , 0.058997277 } ,286: {0.46893617 , 0.498339446 , 0.454507824 , 0.498535207 , 0.461754807 287: , 0.952953274 } ,288: {0.499574468 , 0.063920578 , 0 , 0.450777716 , 0.015595908 289: , 0.192246589 } ,290: {0.529361702 , 0.620988317 , 0.338092142 , 0.678636224 , 0.764082261 291: , 0.389038101 } ,292: {0.574468085 , 0.446143547 , 0.205411589 , 0.46775862 , 0.148845066 293: , 0.036305158 } ,294: {0.632340426 , 0.018664149 , 0.217897318 , 0.460310648 , 0.32198718 295: , 0.172037429 } ,296: {0.661276596 , 0.299609836 , 0.59872981 , 0.65744639 , 0.126781576 297: , 0.215409924 } ,298: {0.672340426 , 0.072555099 , 0.41015887 , 0.763973517 , 0.442100159 299: , 0.079144599 } ,300: {0.687659574 , 0.135742113 , 0.325881319 , 0.139719955 , 0.535322619 301: , 0.569427425 } ,302: {0.694468085 , 0.438948347 , 0.603836145 , 0.492005123 , 0.094652072 303: , 0.089257316 } ,304: {0.712340426 , 0.274008519 , 0.533057112 , 0.270669606 , 0.159797535 305: , 0.064875473 } ,306: {0.744680851 , 0.172843643 , 0.559166859 , 0.856564613 , 0.155460928 307: , 0.287751137 } ,308: {0.747234043 , 0.118128092 , 0.468950227 , 0.558630434 , 0.381086825 309: , 0.072922429 } ,310: {0.748085106 , 0.154600858 , 0.420769883 , 0 , 0.388421128 311: , 0.074246661 } ,312: {0.76 , 0.166632664 , 0.401922502 , 0.320142296 , 0.584685929 313: , 0.323947324 } ,314: {0.769361702 , 0.051087188 , 0.346868704 , 0.460852687 , 0.93797351 315: , 0.217086114 } ,316: {0.776170213 , 0.156443647 , 0.409802815 , 0.159937019 , 0.356321395 317: , 0.368735954 } ,318: {0.788085106 , 1 , 0.457003397 , 0.342622107 , 0.431381477 319: , 0.877458962 } ,320: {0.807659574 , 0.819981557 , 0.415047324 , 0.844078568 , 0.347676798 321: , 0.268093994 } ,322: {0.827234043 , 0.079992148 , 0.393530115 , 1.000000007 , 0.766601535 323: , 0.121600123 } ,324: {0.829787234 , 0.332687496 , 0.373101144 , 0.685204795 , 1

  • 325: , 0.340679728 } ,326: {0.830638298 , 0.469097644 , 0.485848198 , 0.346751598 , 0.288296515 327: , 0.767744569 } ,328: {0.845106383 , 0.383126387 , 0.425536342 , 0.761121247 , 0.436773359 329: , 0.042175294 } ,330: {0.874893617 , 0.480924467 , 0.384863149 , 0.471413523 , 0.925631356 331: , 0.154031278 } ,332: {0.884255319 , 0.43246829 , 0.614338673 , 0.710254913 , 0.147951227 333: , 0.175811383 } ,334: {0.899574468 , 0.412670429 , 0.622205437 , 0.538162044 , 0.111632126 335: , 0.268895877 } ,336: {0.935319149 , 0.448927547 , 0.485848198 , 0.534104746 , 0.329464339 337: , 0.178245283 } ,338: {0.983829787 , 0.219273993 , 0.506826235 , 0.521686813 , 0.19800586 339: , 0.481775011 } ,340: {1 , 0.664782514 , 0.513377364 , 0.762939237 , 0.169043333 341: , 0.122050269 } ,342: 343: } ;344: 345: double ind_output[38][1] = {346: {0 } ,347: {0.059249834 } ,348: {0.120005068 } ,349: {0.292785158 } ,350: {0.141846154 } ,351: {0.197269623 } ,352: {0.313785339 } ,353: {0.387788537 } ,354: {0.275113122 } ,355: {0.454600302 } ,356: {0.566817496 } ,357: {0.583107089 } ,358: {0.645550528 } ,359: {0.677526395 } ,360: {0.164404223 } ,361: {0.401809955 } ,362: {0.282956259 } ,363: {0.686576169 } ,364: {0.58974359 } ,365: {0.577375566 } ,366: {0.459125189 } ,367: {0.377978884 } ,368: {0.503167421 } ,369: {0.493514329 } ,370: {0.515535445 } ,371: {0.509200603 } ,372: {0.459728507 } ,373: {0.539366516 } ,374: {0.394355663 } ,375: {0.564705882 } ,376: {0.474509804 } ,377: {0.51372549 } , 378: {0.529110106 } ,

  • 379: {0.240422323 } ,380: {0.390648567 } ,381: {1 } ,382: {0.265182688 } ,383: {0.349321267 } ,384: 385: } ;386: 387: 388: 389: 390: 391: 392: 393: 394: 395: 396: 397: