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TR{#@ _*!R{ҿ#_   ?#?q{MTB$|@˟T|%Ǒehdq!@!!B!|?"TRC #` @{#_*!R~!R~   _$_q TBD|@˟jT|%ǑehdqB@BBBB|_#-TRc Ca _!R*!R   _$?q TB$|@˟jT|%Ǒehdq!@!!B!|?"MTRC C` _*!R!R   ?#?q{MTB$|@˟T|%Ǒehdq!@!!B!|?"TRC #` @{#_*!R!R   ?#{<@#@_kT# @S@@_k!T[85@x46@~}7@ jsjss"ATr@@4v@#SA[B!@{Ĩ#_SA[B@{Ĩ#_SA[BRSAaR  ?#{<@#@_kT@@# @_kT`@_qT T_ qT_qAT{#4{#aR{#_{#{#{#R?#{S[**c#@ c4H@ 4`@4R`4q@T4 4kAzT ՔkT`@5`r@4av@#!"!!T9az@?kT5SA[BcC#@{Ũ#_eJ@RA ***?1T5eJ@e"cz@!* Rx5" R!   ?#{@ S[!**A **[BSA@@{Ĩ#SA[B@@{Ĩ#_[B!RSA@@{Ĩ#  ?#{S@!@@aR<@_kAT"@@@_kT@4 Ձ@!xs@!xss@kTSA@{è#_SAAR@{è#RSA@{è#  ?#{S@!@@aR<@_kAT"@@@_kT@4 Ձ@!xs@!xss@kTSA@{è#_SAAR@{è#RSA@{è#  _$!@_  ?#{SA 4[ &@ R@xssAk Tf@kT R[BSA{è#   ?#{S8!@x 4ҡ@!xt@!xtb@B@@?kT`b@ qThTqTa@bf@!_!@`r@4`v@#SA@!{è#_qTb@cf@a6AB_B@`6A`6`r@`5SA@{è#_Rb@cf@B_B@`@ qTTqT   ?#{/m @ S[@c@'m`@ @ ` 4qTqI TRr3 .* '5R`@4qT@9az@?kT3@SA[BcC'Dm/Em{Ǩ#_A9bz@_kTSA[BcC'Dm/Em{Ǩ#_`r@4av@#!"P!!jT ! !9 jTTk"?kTkT*0 (,T0 ,Tk"?kTSA[BcC'Dm/Em3@{Ǩ#_`@t@(+`9   ! !0 (T0 ,T`r@4`v@#! RP! 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T@@;@4R?@ A4?@;@Z~ ;@RV}`4v@~ *A n@b.@_ivhzA G sk#s F*X5@kT@;@B?k;T@?@Bk?HT3@RsESA[BcCkD{Ȩ#_(@ BB a,_kA 1T@ ?#{@c@S8@s@[RT@~@@@* ~ /@!Kn BTL!B 'm /@Hgky|}/m7mO@`k@)'@SL g!ǑaBqZK*|A?qxw T? q`T?q/ TR?kT $*)PgZa#(P"  `zjcP!BP_k@& @ezhad@bz`A@FD@Ac(`Tm@ m!cTAa!ccv#@A`A`* @`*A`A`AA`lm@/A}@b@@@:}C4s djakahajKBD(bJh!cja! ?aBT@ax7Z4B Z!@bDBA@!aTS@{T'FmkD/Gm7HmSA[BcCsE{˨#_/a@BC# @Axc @# @c @.@c$@   _$^)R@@B|`@_B| qBTTq TRqTF@@@4A$@ _F@@@$@ C@@@$@b ?#{^)S@[,@~c@~@@u_#8@!K"} 4t@|@L4" T!@4'lsҖ,!@!xxB@4 @|}Ӥ6@xxhbhb]8a<q&Ú`j"Tc6h`j"B AT!@?kT'@~@q @T R!x`0 `TkhT:@SA#@ [BcC{Ũ#_ @`*6@5R~@@R ?#{S[@c@|@w4*'mR /.+ @kTav@b^@!"a0 bT i,T jTk"_k*T'Dm+@SA[BcC{ƨ#_a@t@)((9! )"!") `*`'Dm+@SA*[BcC{ƨ#_SA[BcC'Dm+@{ƨ#_b^)`@||}`~aRR?#{[@S@3˔˔D~|sDkTK~|ˁBBB|!b~@BB|ӡjbB@Ѡj"SA[B@{Ĩ#_aR   _$B(@A@TR @@T Ձ@)L#k@TL# _!T@_!T@AT__$B%Ǒeq/@b@@?n_'@B}B=@T= @=N@DLWalq!&*.3DLT\dlt|<=EMU]emu}56:&-:KU^c=DInput layer :%4d neurons, 1 bias Output layer :%4d neurons Hidden layer :%4d neurons, 0 bias Hidden layer :%4d neurons, 1 bias Total neurons and biases :%4d Total connections :%4d Connection rate :%8.3f Network type : %s Training algorithm : %s Training error function : %s Training stop function : %s Bit fail limit :%8.3f Learning rate :%8.3f Learning momentum :%8.3f Quickprop decay :%11.6f Quickprop mu :%8.3f RPROP increase factor :%8.3f RPROP decrease factor :%8.3f RPROP delta min :%8.3f RPROP delta max :%8.3f Cascade output change fraction :%11.6f Cascade candidate change fraction :%11.6f Cascade output stagnation epochs :%4d Cascade candidate stagnation epochs :%4d Cascade max output epochs :%4d Cascade min output epochs :%4d Cascade max candidate epochs :%4d Cascade min candidate epochs :%4d Cascade weight multiplier :%8.3f Cascade candidate limit :%8.3f Cascade activation functions[%d] : %s Cascade candidate groups :%4d Cascade no. of candidates :%4d Cascade activation steepnesses[%d] :%8.3f r/dev/urandomFANN_FIX_2.0 FANN_FLO_2.1 decimal_point=%u num_layers=%d learning_rate=%f connection_rate=%f network_type=%u learning_momentum=%f training_algorithm=%u train_error_function=%u train_stop_function=%u cascade_output_change_fraction=%f quickprop_decay=%f quickprop_mu=%f rprop_increase_factor=%f rprop_decrease_factor=%f rprop_delta_min=%f rprop_delta_max=%f rprop_delta_zero=%f cascade_output_stagnation_epochs=%u cascade_candidate_change_fraction=%f cascade_candidate_stagnation_epochs=%u cascade_max_out_epochs=%u cascade_min_out_epochs=%u cascade_max_cand_epochs=%u cascade_min_cand_epochs=%u cascade_num_candidate_groups=%u bit_fail_limit=%u cascade_candidate_limit=%u cascade_weight_multiplier=%u bit_fail_limit=%.20e cascade_candidate_limit=%.20e cascade_weight_multiplier=%.20e cascade_activation_functions_count=%u cascade_activation_functions=cascade_activation_steepnesses_count=%u cascade_activation_steepnesses=%u layer_sizes=%.20e %d scale_included=1 scale_mean_in=scale_deviation_in=%f scale_new_min_in=scale_factor_in=scale_mean_out=scale_deviation_out=scale_new_min_out=scale_factor_out=scale_included=0 neurons (num_inputs, activation_function, activation_steepness)=connections (connected_to_neuron, weight)=(%u, %u, %u) (%u, %u, %.20e) (%d, %d) (%d, %.20e) %u %u %u FANN Error %d: %sUnable to open configuration file "%s" for reading. Unable to open configuration file "%s" for writing. Wrong version of configuration file, aborting read of configuration file "%s". Error reading "%s" from configuration file "%s". Error reading neuron info from configuration file "%s". Error reading connections from configuration file "%s". ERROR connections_so_far=%d, total_connections=%d Unable to open train data file "%s" for writing. Error reading info from train data file "%s", line: %d. Unable to allocate memory. Unable to train with the selected activation function. Unable to use the selected activation function. Training data must be of equivalent structure. Unable to use the selected training algorithm. Subset from %d of length %d not valid in training set of length %d. Index %d is out of bound. Scaling parameters not present. The number of input neurons in the ann (%d) and data (%d) don't match The number of output neurons in the ann (%d) and data (%d) don't match The parameters for create_standard are wrong, either too few parameters provided or a negative/very high value provided. Layer / Neuron %dL %3d / N %4d %s w+w%u %f %f %u %u %u %le %le parameters(%u %le) FANN_VERSIONFANN_FLO_1.1 FANN_FLO_2.0 num_layers=%u num_layerslearning_rateconnection_ratenetwork_typelearning_momentumtraining_algorithmtrain_error_functiontrain_stop_functioncascade_output_change_fractionquickprop_decayquickprop_murprop_increase_factorrprop_decrease_factorrprop_delta_minrprop_delta_maxrprop_delta_zerocascade_output_stagnation_epochscascade_candidate_change_fractioncascade_candidate_stagnation_epochscascade_max_out_epochscascade_min_out_epochscascade_max_cand_epochscascade_min_cand_epochscascade_num_candidate_groupsbit_fail_limit=%le bit_fail_limitcascade_candidate_limit=%le cascade_candidate_limitcascade_weight_multiplier=%le cascade_weight_multipliercascade_activation_functions_countcascade_activation_functionscascade_activation_steepnesses_count%le cascade_activation_steepnesseslayer_sizesscale_included=%u scale_mean_inscale_deviation_inscale_new_min_inscale_factor_inscale_mean_outscale_deviation_outscale_new_min_outscale_factor_out(%u, %u, %le) (%u, %le) Max epochs %8d. Desired error: %.10f. Epochs %8d. Current error: %.10f. Bit fail %d. * Max neurons %3d. Desired error: %.6f Neurons %3d. Current error: %.6f. Total error:%8.4f. Epochs %5d. Bit fail %3d. candidate steepness %.2f. function %sTrain outputs Current error: %.6f. Epochs %6d FANN_NETTYPE_LAYERFANN_NETTYPE_SHORTCUTFANN_STOPFUNC_MSEFANN_STOPFUNC_BITFANN_ERRORFUNC_LINEARFANN_ERRORFUNC_TANHFANN_LINEARFANN_THRESHOLDFANN_THRESHOLD_SYMMETRICFANN_SIGMOIDFANN_SIGMOID_STEPWISEFANN_SIGMOID_SYMMETRICFANN_SIGMOID_SYMMETRIC_STEPWISEFANN_GAUSSIANFANN_GAUSSIAN_SYMMETRICFANN_GAUSSIAN_STEPWISEFANN_ELLIOTFANN_ELLIOT_SYMMETRICFANN_LINEAR_PIECEFANN_LINEAR_PIECE_SYMMETRICFANN_SIN_SYMMETRICFANN_COS_SYMMETRICFANN_SINFANN_COSFANN_TRAIN_INCREMENTALFANN_TRAIN_BATCHFANN_TRAIN_RPROPFANN_TRAIN_QUICKPROPFANN_TRAIN_SARPROP-C6?MbP?MbP9B.?ư>ư>5?`X,@5`X,z???@???? 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