Analysis of Single-Pilot Intention Modeling in Commercial Aviation

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td colspan="2">Input: Dataset: dataset</td></tr><tr><td colspan="2">Output: BiLSTM Model: bilstm_model</td></tr><tr><td colspan="2"> flight_intent_labels, operation_sequences ← load dataset</td></tr><tr><td colspan="2"> intent_dictionary ← operation_sequences</td></tr><tr><td colspan="2"> foroperation_sequenceinoperation_sequences : do</td></tr><tr><td colspan="2">  X ← wordEmbedding(intent_dictionary, operation_sequence)</td></tr><tr><td colspan="2">  y ← categorical(flight_intent_label)</td></tr><tr><td colspan="2"> end for</td></tr><tr><td colspan="2"> bilstm_model ← build_bilstm(MiniBatchSize, NumHiddenUnits, layer_size)</td></tr><tr><td colspan="2"> loss, out ← build_output(bilstm_output, in_size, out_size)</td></tr><tr><td colspan="2"> solver ← AdamOptimizer(loss, LearnRate)</td></tr><tr><td colspan="2"> forepochinepochs: do</td></tr><tr><td colspan="2">  forMiniBatch_X, MiniBatch_yinget_MiniBatch(X, y, MiniBatchSize)</td></tr><tr><td colspan="2">  do</td></tr><tr><td colspan="2">   bilstm_model.run(loss, feed=input: MiniBatch_X, target: MiniBatch_y)</td></tr><tr><td colspan="2">   bilstm_model.run(solver, feed=input: MiniBatch_X, target: MiniBatch_y)</td></tr><tr><td colspan="2">  end for</td></tr><tr><td colspan="2"> end for</td></tr><tr><td colspan="2"> returnbilstm_model</td></tr></table></td></tr></table>

<div> The training of the single-pilot intention model based on BiLSTM.</div>

International Journal of Aerospace Engineering

alg1

Algorithm 1

Algorithm 1: Analysis of Single-Pilot Intention Modeling in Commercial Aviation 