By Nan Jiang, Yixian Yang, Xiaomin Ma, Zhaozhi Zhang (auth.), Derong Liu, Shumin Fei, Zengguang Hou, Huaguang Zhang, Changyin Sun (eds.)
This ebook is a part of a 3 quantity set that constitutes the refereed court cases of the 4th foreign Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007.
The 262 revised lengthy papers and 192 revised brief papers awarded have been rigorously reviewed and chosen from a complete of 1,975 submissions. The papers are prepared in topical sections on neural fuzzy regulate, neural networks for keep watch over purposes, adaptive dynamic programming and reinforcement studying, neural networks for nonlinear platforms modeling, robotics, balance research of neural networks, studying and approximation, info mining and have extraction, chaos and synchronization, neural fuzzy platforms, education and studying algorithms for neural networks, neural community buildings, neural networks for development attractiveness, SOMs, ICA/PCA, biomedical purposes, feedforward neural networks, recurrent neural networks, neural networks for optimization, aid vector machines, fault diagnosis/detection, communications and sign processing, image/video processing, and purposes of neural networks.
Read or Download Advances in Neural Networks – ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part III PDF
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Additional resources for Advances in Neural Networks – ISNN 2007: 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part III
The simulation indicates that if a fixed number sample arbitrarily in the database is chosen the training sample, different neural network would be built every time. And the accuracy rate of the diagnose ranges from 50% to 78%. The reason lies in two case: 1) The data comes from the clinic open information collection system. There is no strict limitation for the enrolled apoplectics. Since the curing time, age, sex, medical history, diagnose of the apoplectics are different, the values of NHISS and TCM-SSASD are different too.
Thus 4 neural networks are built, and every one is build by the scheme 1. The result is given in the table 2. It is shown that feature multiple models can reflect the local feature information of the samples and the diagnose identification rate is higher than the general one. Table 2. 2% 69% 5 Conclusion In this paper the relationship between NIHSS and TCM-SSASD is studied based on the data mining method. The forward BP neural network is adopted to approximate the complex nonlinear relationship with four algorithms.
CDMA Research Report No. LSE-CDMA-2003-03, London School of Economics (2003) 2. : Multi-valued Neuron and Multi-thresholded Neuron: Their Combinations and Applications. Acta Electronica Sinica (1996) 1-6 8 N. Jiang et al. 3. : Capacity of Multilevel Threshold Devices. IEEE Transactions on Information Theory (1998) 241-255 4. : On Encoding and Enumerating Threshold Functions. IEEE Transactions on Neural Networks (2004) 261-267 5. : Enumeration of Linear Threshold Functions from the Lattice of Hyperplane Intersections.