Notice of Retraction: SWOT analysis on the development of carbon finance of China's banking

Xu, Sheng; Xin, Zhang

doi:10.1109/icbmei.2011.5921059

Cited by 1 publication

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“…In the original input not changing the whole optimization neural network system can continue to process the data of deformation, until the output value tend to be convergence [9]. Based on this, combining with the construction of the carbon financial system, the carbon financial control prediction model of neural network is as below: As shown in Figure 4, the carbon financial control prediction model consists of neural network model and the optimization module [5]. The main function of neural network model is to provide the prediction, and carry on the training of the input signal.…”

Section: Applied Mechanics and Materials Vols 556-562 2371mentioning

confidence: 99%

Simulation of Control Model Based on Optimal Structure of HOPFIELD Neural Network

Liu

2014

AMM

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Carbon finance is the core module of the future development of low carbon economy; it is a new type of competitive force in the construction of long-term sustainable development strategy for global financial institutions. Its development degree directly restricts the healthy development of multiple fields related to carbon finance. In this paper we firstly analyze the market structure characteristics of carbon finance based on international experience, and summary Chinese problems of carbon finance according to the domestic status. On the basis we introduce artificial neural network of P.K.Simpson, and construct the carbon financial control model based on neural network prediction. In order to verify the scientific and practicability of this model, we build dynamic behavior simulation model of carbon financial system. The simulation results show that the model can make accurate predictions on scientific decision on carbon financial system application, and the simulation results are relatively complete.

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Section: Applied Mechanics and Materials Vols 556-562 2371mentioning

confidence: 99%

Simulation of Control Model Based on Optimal Structure of HOPFIELD Neural Network

Liu

2014

AMM

View full text Add to dashboard Cite

show abstract

Notice of Retraction: SWOT analysis on the development of carbon finance of China's banking

Cited by 1 publication

References 0 publications

Simulation of Control Model Based on Optimal Structure of HOPFIELD Neural Network

Simulation of Control Model Based on Optimal Structure of HOPFIELD Neural Network

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