Artificial Neural Network Classification for Fatigue Feature Extraction Parameters Based on Road Surface Response
نویسندگان
چکیده
منابع مشابه
Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...
متن کاملSTRUCTURAL RESPONSE OBSERVER BASED ON ARTIFICIAL NEURAL NETWORK
Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificia...
متن کاملAnalysis of Skin Cancer Classification Using GLCM Based On Feature Extraction in Artificial Neural Network
Skin cancer is the deadliest form of cancers in humans. Skin cancer is commonly known as Melanoma. Skin Cancers are of two typesBenign and Malignant Melanoma. Melanoma can be cured completely if it is detected early. Both benign and malignant melanoma appear in similar. So it is difficult to differentiate both. This is a main problem with the early skin cancer detection. Only an expert dermatol...
متن کاملArtificial Neural Network Based Face Detection Using Gabor Feature Extraction
This paper proposes a classification-based face detection method using Gabor filter features. Considering the desirable characteristics of spatial locality and orientation selectivity of the Gabor filter, we design filters for extracting facial features from the local image. The feature vector based on Gabor filters is used as the input of the classifier, which is a Feed Forward neural network ...
متن کاملBrain Cancer Classification Using GLCM Based Feature Extraction in Artificial Neural Network
Brain tumor is one of the major reasons of death among people. It is indication that the chances of survival can be greater than before if the tumor is detected correctly at its early stage. This paper classifies the type of tumor using Artificial Neural Network (ANN) in MRI images of different patients with Astrocytoma type of brain tumor. The extraction of texture features in the detected tum...
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 on Advanced Science, Engineering and Information Technology
سال: 2018
ISSN: 2460-6952,2088-5334
DOI: 10.18517/ijaseit.8.4-2.6805