A self organizing map (SOM) based electric load classification
نویسندگان
چکیده
منابع مشابه
Software Reusability Classification and Predication Using Self-Organizing Map (SOM)
Due to rapid development in software industry, it was necessary to reduce time and efforts in the software development process. Software Reusability is an important measure that can be applied to improve software development and software quality. Reusability reduces time, effort, errors, and hence the overall cost of the development process. Reusability prediction models are established in the ...
متن کاملClassification of Streaming Fuzzy DEA Using Self-Organizing Map
The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on ...
متن کاملC - Som : a Continuous Self - Organizing Map for Function Approximation
We propose a new method called C-SOM using a Self-Organizing Map (SOM) for function approximation. C-SOM takes care about the output values of the «win-ning» neuron's neighbors of the map to compute the output value associated with the input data. Our work extends the standard SOM with a combination of Local Linear Mapping (LLM) and cubic spline based interpolation techniques to improve its gen...
متن کاملAbstract—self-organizing Map (som) Is a Well Known Data
reduction technique used in data mining. It can reveal structure in data sets through data visualization that is otherwise hard to detect from raw data alone. However, interpretation through visual inspection is prone to errors and can be very tedious. There are several techniques for the automatic detection of clusters of code vectors found by SOM, but they generally do not take into account t...
متن کاملKnowledge Management in Edaphology Using Self Organizing Map (som)
In this paper, we propose a proficient method for knowledge management in Edaphology using self organizing map (SOM). The method will assist the edaphologists and those related with agriculture in a big way by finding out the plants apt for the input query. The method has three phases namely dataset processing, neuron training and testing phase. The input data is first converted and normalized ...
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: Facta universitatis - series: Electronics and Energetics
سال: 2018
ISSN: 0353-3670,2217-5997
DOI: 10.2298/fuee1804571f