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 nonlinear mapping capacity, artificial neural network has already been applied in many fields, time series analysis, and trend prediction. 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. Simulation results show that the proposed method does not rely on gradient information and has strong optimization calculation ability. At the same time, it can analyze and predict economic management, so as to provide strong decision support for decision makers.

随着影响全球市场经济发展的各种因素变得越来越不确定，经济和商品在经济运行中的波动将越来越大。凭借其强大的非线性映射能力，人工神经网络已在许多领域，时间序列分析和趋势预测中得到应用。云计算可以以最低的管理成本与服务提供商快速交互。提出了一种基于云计算和BP神经网络的经济预测和资源优化配置模型。其主要目的是将复杂的预测任务分解为几个子任务，有效地减少单台计算机的工作量并提高运行效率。仿真结果表明，该方法不依赖梯度信息，具有较强的优化计算能力。同时，它可以分析和预测经济管理，从而为决策者提供强有力的决策支持。