Breast Cancer Prognosis Using Learning Vector Quantization Neural Network Technique
نویسندگان
چکیده
منابع مشابه
Breast Cancer Diagnostic System using Hierarchical Learning Vector Quantization
Breast cancer has become a common mortality factor in the world. Lesser availability of diagnostic facilities along with large time requirements in manual diagnosis emphasize on automatic diagnosis for early diagnosis of the disease. In this paper a computerized breast cancer diagnosis prototype has been developed to reduce the time taken and indirectly reducing the probability of death. The pa...
متن کاملVector Quantization using Arti cial Neural Network Models yStanley
This paper focuses on recent developments in the use of Artiicial Neural Networks (ANNs) for Vector Quantization (VQ). A review of the fundamental ANN models used for VQ is presented, including Competitive Learning networks, Kohonen Self-Organizing Feature Maps, and Conscience Techniques including the FSCL algorithm. The paper also brieey reviews the use of VQ-based clustering techniques in cla...
متن کاملVector Quantization and Projection Neural Network
Classical data analysis techniques are generally linear. They fail to reduce the dimension of data sets where dependence between observed variables is non-linear. However, for numerous scientific, industrial and economic areas, it should be desirable to obtain a low-dimensional parametric representation of the data set. Model fitting is a way to obtain a usable representation of an observed phe...
متن کاملSupervised Neural Gas for Learning Vector Quantization
In this contribution we combine approaches the generalized leraning vector quantization (GLVQ) with the neighborhood orientented learning in the neural gas network (NG). In this way we obtain a supervised version of the NG what we call supervised NG (SNG). We show that the SNG is more robust than the GLVQ because the neighborhood learning avoids numerically instabilities as it may occur for com...
متن کاملThe Kingdom of Saudi Arabia Vehicle License Plate Recognition using Learning Vector Quantization Artificial Neural Network
In the today scenario technological intelligence is a higher demand after commodity even in traffic-based systems. These intelligent systems do not only help in traffic monitoring but also in commuter safety, law enforcement and commercial applications. The proposed Saudi Arabia Vehicle License plate recognition system splits into three major parts, firstly extraction of a license plate region ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.10.26789