A Survey on Hybrid Soft Computing Techniques based on Classification Problem |
Author(s): |
| Ankita Mishra , SSTC BHILAI; Abha Choubey, SSTC BHILAI |
Keywords: |
| Neural Network, Genetic, Artificial Intelligence, fuzzy |
Abstract |
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In this survey paper we survey about various techniques related to soft computing techniques useful for improve efficiency and accuracy of lots of complexity occur in classification techniques in data mining. In this survey we analyzed that multiple soft computing techniques provide different feature such as Generic algorithm techniques is based on optimizer function to upgrade neural net association and also include three components like Reproduction/Extraction, mutation, cross over etc. Similarly Neural network is purely based on artificial intelligence that provides the features to solve data classification problem through computing intellectual and Fuzzy logic is totally depend upon fuzzy set range starting from 0 to 1.We also analysis of hybrid concept of all soft computing techniques. |
Other Details |
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Paper ID: IJSRDV3I80327 Published in: Volume : 3, Issue : 8 Publication Date: 01/11/2015 Page(s): 488-491 |
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