Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge number of weights and limited training samples, many problems difficulties have arisen from use deep methods HSI To handle this issue, an efficient learning-based classification method, namely, spatial-aware network (SANet) has been proposed paper. The ma...

Artificial intelligent and application of computer vision are an exciting topic in last few years, its key for many real time applications like video summarization, image retrieval classifications. One the most trend method deep learning is a convolutional neural network, used processing vision. In this work networks CNN model proposed color classification, build using MATLAB tools learning. ad...

Fruit quality identification is very important in the food industry for maintaining product quality. The control commonly conducted by human senses which lack of objectivity and takes long time real-time mass production control. fruit can be identified through its color, smell, texture. This study uses image to classify fruit. We trained artificial neural networks classifying from Indian Datase...

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...