[Retracted] Multimodal Emotion Recognition Model Based on a Deep Neural Network with Multiobjective Optimization

Table 5

Algorithm performance comparison.

	Algorithm	Accuracy
Single modal emotion recognition technology	DCNN	0.712	0.05
	DSCNN	0.691	0.0535
	ISMS_ALA	0.725	0.0245
Best value	NSGA-III	0.7405	0.0085
	HypE	0.7321	0.0107
	PEAS	0.7538	0.0034
	MOEA/DD	0.7416	0.0098
Worst value	NSGA-III	0.6795	0.0489
	HypE	0.6615	0.0662
	PEAS	0.6972	0.0261
	MOEA/DD	0.6726	0.0427
Mean value	NSGA-III	0.7169	0.0261
	HypE	0.7143	0.0328
	PEAS	0.7268	0.0178
	MOEA/DD	0.7178	0.0247