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 nonlinear mapping capacity, artificial neural network has already been applied in many f...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-08-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
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| Online Access: | http://link.springer.com/article/10.1186/s13638-020-01790-6 |
| _version_ | 1818148401177427968 |
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| author | Pinzhen He |
| author_facet | Pinzhen He |
| author_sort | Pinzhen He |
| collection | DOAJ |
| description | 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 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. |
| first_indexed | 2024-12-11T12:50:33Z |
| format | Article |
| id | doaj.art-c9935a0000ba4ff98655887cbc6230d8 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-11T12:50:33Z |
| publishDate | 2020-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-c9935a0000ba4ff98655887cbc6230d82022-12-22T01:06:43ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-08-012020111410.1186/s13638-020-01790-6Study of economic management forecast and optimized resource allocation based on cloud computing and neural networkPinzhen He0University of YorkAbstract 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.http://link.springer.com/article/10.1186/s13638-020-01790-6Economic managementBP neural networkCloud computingAdaptive learning |
| spellingShingle | Pinzhen He Study of economic management forecast and optimized resource allocation based on cloud computing and neural network EURASIP Journal on Wireless Communications and Networking Economic management BP neural network Cloud computing Adaptive learning |
| title | Study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| title_full | Study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| title_fullStr | Study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| title_full_unstemmed | Study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| title_short | Study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| title_sort | study of economic management forecast and optimized resource allocation based on cloud computing and neural network |
| topic | Economic management BP neural network Cloud computing Adaptive learning |
| url | http://link.springer.com/article/10.1186/s13638-020-01790-6 |
| work_keys_str_mv | AT pinzhenhe studyofeconomicmanagementforecastandoptimizedresourceallocationbasedoncloudcomputingandneuralnetwork |