RANGKAIAN NEURAL PERSEPTRON BERBILANG LAPISAN HffiRID BERKELOMPOK UNTUK PENGELASAN CORAK YANG LEBIH BAlK
| dc.contributor.author | WAN MAMAT, WAN MOHD FAHMI | |
| dc.date.accessioned | 2016-01-12T03:46:36Z | |
| dc.date.available | 2016-01-12T03:46:36Z | |
| dc.date.issued | 2009-11 | |
| dc.description.abstract | Perseptron based and Radial Basis Function (RBF) neural networks are commonly used for pattern classification. However, their performances are limited to several weaknesses. For the Perseptron based neural networks, their training procedures are often trapped at a local optimum with slow convergence rate and sensitive to initial parameter values. Whereas, three,' typical problems for the RBF network are dead centers, centers redundancy arid trapped centers in local minima. Thus, this study introduces a new neural network architecture called Clustered Hybrid Multilayered Perceptron or ClusteredHMLP. In this work, the Hybrid Multilayered Perceptron network architecture has been modified by introducing an additional layer called cluster layer to form the proposed neural network. The cluster layer concept is adopted from the RBF network architecture. The proposed Clustered-HMLP is then trained using a new modified training algorithm called Clustered Modified Recursive Prediction Error or Clustered-MRPE. The Clustered-MRPE algorithm is a combination of the modified version of the conventional MRPE and the Moving k-mean clustering algorithms. The capability of the ClusteredHMLP network is demonstrated using 14 VCI benchmark datasets. The results indicate that the introduction of pre-classification process at additional cluster layer favors the proposed Clustered-HMLP network by producing better performance as compared to other 12 conventional intelligent classifiers. Furthermore, the proposed Clustered-HMLP network has successfully been applied to develop a Transformer Fault Diagnosis System and Drug-like and Non Drug-like Classification System. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1460 | |
| dc.subject | NEURAL PERSEPTRON | en_US |
| dc.subject | LAPISAN HffiRID | en_US |
| dc.title | RANGKAIAN NEURAL PERSEPTRON BERBILANG LAPISAN HffiRID BERKELOMPOK UNTUK PENGELASAN CORAK YANG LEBIH BAlK | en_US |
| dc.type | Thesis | en_US |
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