Comparing performances of neural network models built through transformed and original data

• 主要な著者: Abubakar, Adamu, Haruna, Chiroma, Abdulkareem, Sameem
• フォーマット: Conference or Workshop Item
• 言語: English; English
• 出版事項: 2015
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://irep.iium.edu.my/44526/1/I4CT.pdf; http://irep.iium.edu.my/44526/4/44526_Comparing%20performances%20of%20neural_Scopus.pdf; http://irep.iium.edu.my/44526/; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7194237&punumber%3D7194237%26filter%3DAND%28p_IS_Number%3A7219513%29%26pageNumber%3D3&pageNumber=4

Data transformation (normalization) is a method used in data preprocessing to scale the range of values in the data within a uniform scale to improve the quality of the data; as a result, the prediction accuracy is improved. However, some scholars have questioned the efficacy of data normalizati...