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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chaudhari, N.S. Tiwari, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Computer Engineering, Shri G. S. Inst. Of Tech. and Science, Indore, India (Tiwari, A.) || Computer Science and Engineering, Indian Institute of Technology, Indore, M-Block, IET-DAVV campus, Khandwa Road, Indore 452017 (MP), India (Chaudhari, N.S.) |
| Abstract | In this paper, a Binary Neural Network Classifier (BNNC) is proposed in which hidden layer training is done in parallel. Learning Algorithm for the BNNC is described, which is based on the principle of Fast Covering Learning Algorithm (FCLA) proposed by Wang and Chaudhari [1]. The BNNC offers high degree of parallelism in hidden layer formation. Each module in the hidden layer of BNNC is exposed to the patterns of only one class. For achieving better accuracy, issue of overlapped classes are also handled. The method is tested on few benchmark datasets, accuracies are within the acceptable range. Due to parallelism at hidden layer level, training time is decreased, therefore, it can be used for voluminous realistic database. An analytical formulation is developed to evaluate the number of hidden layer neurons, it is in the 0(log(N)), where N represents the number of inputs. |
| Starting Page | 2012 |
| Ending Page | 2017 |
| File Size | 666819 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478149 |
| e-ISBN | 9781424478156 |
| DOI | 10.1109/ICARCV.2010.5707389 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neurons Boolean functions Classification algorithms Training Artificial neural networks Hamming distance Equations Lower bound BNN Hypersphere overlapped classes |
| Content Type | Text |
| Resource Type | Article |
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