Genetic Algorithm (GA) was used to study the quantitative structural parameters and activity relationship of pyrrolobenzothizepinones and pyrrolobenzoxazepinones's inhibitory activities with non-nucleoside HIV-1 r...Genetic Algorithm (GA) was used to study the quantitative structural parameters and activity relationship of pyrrolobenzothizepinones and pyrrolobenzoxazepinones's inhibitory activities with non-nucleoside HIV-1 reverse transcriptase (RT). A group of linear polynomial models with good relationship have been built to get some useful information that other methods can not offer.展开更多
ED (eczema disease) is the most common form of skin inflammation in humans. Most of the skin disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease can save the...ED (eczema disease) is the most common form of skin inflammation in humans. Most of the skin disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease can save the patient’s life and prevent theprogression of the disease. It is proposed to have a study on the diagnosis of ED using BpNN (backpropagation neural network) in cloud computing approach due to that BpNN is currently widespread research area in medicine and plays an important role in a decision support system. In this paper, an attempt has been made to make use of BpNN in the medical field along cloud computing to detect ED.展开更多
文摘Genetic Algorithm (GA) was used to study the quantitative structural parameters and activity relationship of pyrrolobenzothizepinones and pyrrolobenzoxazepinones's inhibitory activities with non-nucleoside HIV-1 reverse transcriptase (RT). A group of linear polynomial models with good relationship have been built to get some useful information that other methods can not offer.
文摘ED (eczema disease) is the most common form of skin inflammation in humans. Most of the skin disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease can save the patient’s life and prevent theprogression of the disease. It is proposed to have a study on the diagnosis of ED using BpNN (backpropagation neural network) in cloud computing approach due to that BpNN is currently widespread research area in medicine and plays an important role in a decision support system. In this paper, an attempt has been made to make use of BpNN in the medical field along cloud computing to detect ED.
