نتایج جستجو برای: neural network algorithm
تعداد نتایج: 1460261 فیلتر نتایج به سال:
in this research, pomegranate arils are dehydrated by osmotic dehydration in 40, 50, and 60 % sucrose solutions and at 45, 55 and 65 degrees c and weight reduction, solids grain and water loss of the products were measured at 60, 120 and 180 minutes of process. osmotic dehydration processes was modeled by combination of neural network and fuzzy logic techniques (neuro-fuzzy) and respons...
Neural networks offer an intriguing set of techniques for learning based on the ad-justment of weights of connections between processing units. However, the powerand limitations of connectionist methods for learning, such as the method of backpropagation in parallel distributed processing networks, are not yet entirely clear.We report on a set of experiments that more precisely ...
The purpose of this study is to analyze the performance of Back propagation algorithm with changing training patterns and the second momentum term in feed forward neural networks. This analysis is conducted on 250 different words of three small letters from the English alphabet. These words are presented to two vertical segmentation programs which are designed in MATLAB and based on portions (1...
as the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. this processing comprises two fundamental and critical steps towar...
Background: Pregnancy in women with systemic lupus erythematosus (SLE) is still introduced as a major challenge. Consulting before pregnancy in these patients is essential in order to estimating the risk of undesirable maternal and fetal outcomes by using appropriate information. The purpose of this study was to develop an artificial neural network for prediction of pregnancy outcomes including...
The capacity of the Hopfield model has been considered as an imortant parameter in using this model. In this paper, the Hopfield neural network is modeled as a Shannon Channel and an upperbound to its capacity is found. For achieving maximum memory, we focus on the training algorithm of the network, and prove that the capacity of the network is bounded by the maximum number of the ortho...
Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters among the available parameters are selected and ...
Nowadays, none of the industries are willing to have accidents in their workplaces and use different tools in this regard. One of these tools, which is capable of identifying risks and inappropriate situations, is risk analysis. Due to the importance of job risk prediction and reduction of occupational injury in this study, job risk prediction using different neural network algorithms has been ...
contamination of water by heavy metals is a global problem. nowadays everybody knows that heavy metal ions consist of iron, lead, manganese, zinc, copper, cadmium, and nickel and so on they are common contaminants in wastewater and known to be toxic and carcinogenic that lead to many problems for human and water environment. in this research, experiments have been performed in the batch system ...
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