[Retracted] Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM

Table 1

Comparative analysis of four models.

Advantages and disadvantages of model mechanisms	Structures	The model’s structure	Application suggestions	Stacked structure model
There is only one backbone network	Network structure is simple	Network is hard to train	Network-in-network structure model	Multiple network branches at multiple scales
It has the ability of reaggregating, except the number of parameters	It is applied to tasks with small data sets	Try to avoid applying to tight resources	The equipment is missing	Residual structural model
Is a short circuit mechanism network	It solves the problem of deep network modeling	Phenomenon of random depth	Enhance the autonomous feature extraction ability	The amount of computation
Used to build deep networks	Attention mechanism model	Channel attention and spatial attention	The performance of the original model	Generalization ability