Evaluation method based on neural network differential evolution

In order to improve the validity of comparative literature research method, a kind of research method for comparative literature based on neural network eco-criticism theory system is proposed. Firstly, assessment indicator system of comparative literature research based on eco-criticism theory is established by social benefit, economic benefit, influence and writer information and other indicators; secondly, factors proportion of ecology assessment indicator for comparative literature is carried out by introducing neural network, and at the same time, in order to improve the validity of neural network algorithm, the parameter optimization setting of neural network algorithm is achieved by designed differentiation Gauss double-orientated differential evolution algorithm; finally, the validity of proposed method is verified by simulation experiment in comparative literature research.