Abstract
The industrial cluster is an important source of regional competitiveness and a powerful carrier of regional economic growth. This paper firstly constructs the index system of regional industrial clusters and regional economy, uses artificial neural network-multi-layer perceptron (ANN-MLP) algorithm for contribution analysis, and uses mean square error (MSE) and coefficient of determination (R2) as the algorithm test index, and finally takes Jiangxi province as an example to empirically study the impact of industrial clusters and regional economy in less developed regions. The research results show that the model has high accuracy, when the parameter MSE is 2259314 and R2 is 0.969. Through this research, this paper can help managers make correct decisions and promote economic development. Industrial clusters can drive economic growth, and regional economies can bring more benefits to industrial clusters.
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