Research Article
A Study of Deep Learning Neural Network Algorithms and Genetic Algorithms for FJSP
Table 2
Operation symbols and abbreviations of the research algorithm.
| Operator symbol | Abbreviation |
| | The objective function | | The scale parameter | LSTM | Long short-term memory | | The weight | | The mapping of the Sigmoid function | CNN | Convolutional neural network | | An adjustable parameter | | Sigmoid mapping of the function | GA | Genetic algorithm | | The probability of selection of the th individual | | The sigmoid function | FJSP | Flexible job-shop scheduling problem | | The individual fitness | | The learnable weight parameter | ANN | Artificial neural network | | Generation population | | The bias vector parameter | SVM | Support vector machine | | The core of the Laplace distribution | | The weight of the output gate | ROC | Receiver operating characteristic | | The location parameter | | The bias of the output gate | F1 | score |
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