Posts Tagged ‘artificial neural network’:

Software Project Risk Assessment Based on BP Neural Networks

With the rapid development of computer technology and the rapid expansion of the number of software, but software technology has not been corresponding development. Its quality, cost and performance, etc. can not be synchronized with the hardware. It leads to software technology what is complicated, technical, and fast updates have a high risk. Currently, risk

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Study on Source Inversion Methods for River Chemical Spill and Application Software Development

At present, early warning and reponse to water pollutions has become a urgent issues and hot topics in academic in china. Establishing Early Warning/Emergency Response System can provide effectively assistant support for pollution response and disposal. However, the detailed contamination source information is the precondition of the system. In fact, it is difficult to know

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The Study of Chemical Engineering Modeling and Predictive Method Based on Neural Network

Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models

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The Study of Chemical Engineering Modeling and Predictive Method Based on Neural Network

Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models

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Research of Blind Equalization Algorithm Based on Neural Network

Blind equalization technology is a new branch of modern adaptive equalization techniques, it compared to the traditional adaptive equalization techniques, it receives signals using only some of the data features from itself to adjust the parameters, thereby eliminating the equalizer by channel caused the non-ideal characteristics between strings, achieve a balanced code of channel purpose.

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The Controlling Factor of Geological Disaster of Typhoon Rainfall Spatial Distribution and Dynamic Prediction in Wenzhou Based on BP Neural Networks

Wenzhou is located in the southeast coast of China, mainly mountainous and hilly terrain, geological disasters are mainly caused by rainfall. The mainly factor which caused disaster are typhoon activity and the heavy rainfall associated with typhoons in the region. Typhoon rainfall seriously threatens to people’s life and property. Traditional weather forecast typhoon rainfall areas

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The Model of Research for Teaching Quality Evaluation Based on Neural Network

The research of education quality has more and more attention by people with the unceasing deepening and developing of current higher education teaching reforms. It is focused on the improvement of teaching quality and teaching evaluation is key measure to improve the quality of education and teaching. Therefore, the establishing and perfecting of teaching quality

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The Model of Research for Teaching Quality Evaluation Based on Neural Network

The research of education quality has more and more attention by people with the unceasing deepening and developing of current higher education teaching reforms. It is focused on the improvement of teaching quality and teaching evaluation is key measure to improve the quality of education and teaching. Therefore, the establishing and perfecting of teaching quality

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Research and Application of BP Neural Networks Based on Genetic Algorithm

In recent years, artificial neural network gradually attention has been paid into the hot area of research in many fields have been involved in electronic applications such as other fields have a wide range of applications, and also continued to expand its applications. Artificial Neural Networks in Research and Application of the theory, a very

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The Application of Forecastiong Research Basied on Artificial Neural Networks

Forecasting research is based on Theoretical guidance. For the starting point of the development of objects, on the basis of the information and statistical data which from investigation, For in-depth qualitative analysis and Rigorous quantitative calculation in the process of the development of things. We also research and understand the development variation of the world.

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