A new academic study presents an AI-powered framework for early warning in credit risk, designed for China’s internet finance industry. The research ...

Benchmarking showed that the proposed approach outperformed support vector machines, random forest algorithms, and BP neural networks in accuracy and interpretability. The system also incorporates a ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important?

Reservoir rock porosity is usually determined by core analysis, but the cost of this method is huge, in order to establish a more accurate and stable reservoir porosity prediction model. Using the ...

Abstract: This study aims to explore the basic network protocol research based on BP neural networks. BP neural network is a feedforward network composed of multiple layers of neurons, with learning ...

To solve the poor fitting degree of errors in multiobjective parameter optimization and low accuracy, a multiobjective optimization method based on a BP neural network was proposed. By taking the ...

algorithm to predict wind power and addresses such shortcomings of the BP neural network as its falling into local optimality and slow training speed when predicting. In this article, the DE algorithm ...

In this paper, to improve system processing power and security, according to the characteristics of neural network that can efficiently find the optimal solution of a problem, proposes a method that ...