Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Wan, Li; Zhu, Yu; Deng, Xiaocheng

doi:10.2991/aiie-15.2015.128

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Bp Neural Network and Phase-space Reconstruction1

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2016

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“…Phase-space reconstruction [3,9] is foundation of chaos theory. Setting X is the observed chaotic time series.…”

Section: Bp Neural Network and Phase-space Reconstructionmentioning

confidence: 99%

An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation

Liu

Yin

2016

Multimed Tools Appl

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The original BP neural network has some disadvantages, such as slow convergence speed, low precision, which is easy to fall into local minimum value. So this paper proposes an improved particle swarm optimization (PSO) algorithm to optimize BP neural network. In this new algorithm, PSO uses improved adaptive acceleration factor and improved adaptive inertia weight to improve the initial weight value and threshold value of BP neural network. And we give the detailed improved process. At the end, simulation results show that the new algorithm can improve convergence rate and precision of prediction of BP neural network, which reduces the error of prediction. At the end, we use multimedia evaluation model to verify the new method's performance.

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“…Phase-space reconstruction [3,9] is foundation of chaos theory. Setting X is the observed chaotic time series.…”

Section: Bp Neural Network and Phase-space Reconstructionmentioning

confidence: 99%

An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation

Liu

Yin

2016

Multimed Tools Appl

View full text Add to dashboard Cite

show abstract

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Cited by 1 publication

References 18 publications

An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation

An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation

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