Study of Economic Management Forecast and Optimized Resource Allocation Based on Cloud Computing and Neural Network

Abstract

As various factors which affect the development of global market economy become increasingly uncertain, economy and commodity will become more and more fluctuating in economic operation. With its strong non-linear mapping capacity, artificial neural network has already been applied in many fields, time series analysis and trend prediction, for instance.Cloud computing can interact fast with service provider at the minimum management cost. This paper proposes an economic forecast and optimized resource allocation model based on cloud computing and BP neural network. Its main goal is to break down a complex prediction task into several sub-tasks, effectively reduce the workload of a single computer and enhance the operating efficiency. Meanwhile, this method can also choose the optimal neural network prediction model at an adaptive learning rate so as to make the prediction and analysis result more accurate.

[Retracted] Optimization Analysis of Power Coal‐Blending Model and Its Control System Based on Intelligent Sensor Network and Genetic Algorithm

“…Its quality requirements are strict, mainly including low ash, low sulfur, high strength, and high anisotropy. With the development of blast furnace technology, the requirements for the quality of thermal coal [1] are gradually increasing. Therefore, in order to save energy and meet production needs, various thermal coals are usually used for proportional distribution.…”