@article{MAKHILLIJSC20083420930,
    title = {Neuro-Fuzzy Approach for Pattern Recognition},
    journal = {International Journal of Soft Computing},
    volume = {3},
    number = {4},
    pages = {288-292},
    year = {2008},
    issn = {1816-9503},
    doi = {ijscomp.2008.288.292},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2008.288.292},
    author = {T. Jebarajan,S. Arumugam,M.C. Loraine Charlet Annie and},
    keywords = {Clustering,matching,objects,pattern recognition,fuzzy,c-means,k-means},
    abstract = {An efficient and robust Pattern recognition algorithm is proposed in this study. The study makes an analysis on the popular classification and recognition algorithms, understanding their drawbacks adds features to the Fuzzy C-means classification algorithm, employs a feature extraction algorithm using wavelet and a hierarchical matching strategy in the recognition phase so as to accelerate matching process.}
    }