The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network
نویسندگان
چکیده
منابع مشابه
The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network
Although the use of computer color matching can reduce the influence of subjective factors by technicians, matching the color of a natural tooth with a ceramic restoration is still one of the most challenging topics in esthetic prosthodontics. Back propagation neural network (BPNN) has already been introduced into the computer color matching in dentistry, but it has disadvantages such as unstab...
متن کاملInstrument dependency of Kubelka-Munk theory in computer color matching
Different industries are usually faced with computer color matching as an important problem. The most famous formula which is commonly used for recipe prediction is based on Kubelka-Munk K-M theory. Considering that spectrophotometer’s geometry and its situation influence the measured spectral values, the performance of this method can be affected by the instrument. In the present study, three ...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولThe Use of Fundamental Color Stimulus to Improve the Performance of Artificial Neural Network Color Match Prediction Systems
In the present investigation attempts were made for the first time to use the fundamental color stimulus as the input for a fixed optimized neural network match prediction system. Four sets of data having different origins (i.e. different substrate, different colorant sets and different dyeing procedures) were used to train and test the performance of the network. The results showed that th...
متن کاملNanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network
Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...
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: Computational and Mathematical Methods in Medicine
سال: 2015
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2015/816719