An optimization neural network model with lossy dynamics and time-varying activation functions

Bı́ró, József; Heszberger, Zalán

doi:10.1109/ijcnn.2004.1380970

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…The output note is 33. The hidden note is 35, which was confirmed by m nl a = + where m is hidden note, n is input note, l is output note, a is constant from 0 to 10 . Using the BP-NN, the parameter net.trainParam.goal=0.0001 and net.trainParam.Epochs =5000.…”

Section: Bp Neural Network Trainingmentioning

confidence: 81%

Research on sustainable development based on neural network

Zhang

Shang

2009

2009 Chinese Control and Decision Conference

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How to evaluate and forecast sustainable development is one of key subjects for research. The influential factors of sustainable development were selected, which was including environment, economy and society in this paper. BP neural network is used to forecast Xiamen' sustainable development factors. The superiority of Neural Network makes it well simulate the nonlinear relationship between indexes and avoiding the subjectivity in traditional weight design methods. Furthermore, the evaluation results will be more objective and scientific than before. The experiment of Xiamen shows that the adaptive learning ability of BP Neural Network could effectively exclude artificial disturbance and objectively evaluate the sustainable development level.

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Section: Bp Neural Network Trainingmentioning

confidence: 81%