2018
DOI: 10.20902/ijctr.2018.111035
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Current review on Probiotics health benefits

Abstract: Humans are a unique reservoir of group of microrganism, and serve as a home to over 100-1000 species of microorganisms , effecting the internal environment of the humans and thereby, play an important role in maintaining the health. The functional foods have become a part of an everyday diet and are exhibiting potential health benefits beyond the widely accepted nutritional effects. Currently, the most important and frequently used functional food compounds are probiotics. The dairy products has been an import… Show more

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Cited by 2 publications
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“…The expansion constant has an important impact on the performance of the RBF network: if its value is too large, it means that a large number of hidden nodes are needed to fit the function with a fast-changing speed, and the basis function curve overlaps the response area more; and if its value is too small, a large number of hidden nodes are needed to fit the smoother function, which would lead to the degradation of the performance of the RBF network. Of course, there are also some learning strategies based on evolutionary methods to dynamically adjust the RBF network center, but most of them have problems like the above-mentioned problem that the optimal training value of the global network parameters cannot be obtained, which may lead to problems such as excessive algorithm complexity, long training time, and easy to fall into local minima [ 22 , 23 ].…”
Section: Rbfnn Methods Based On Immune Systemmentioning
confidence: 99%
“…The expansion constant has an important impact on the performance of the RBF network: if its value is too large, it means that a large number of hidden nodes are needed to fit the function with a fast-changing speed, and the basis function curve overlaps the response area more; and if its value is too small, a large number of hidden nodes are needed to fit the smoother function, which would lead to the degradation of the performance of the RBF network. Of course, there are also some learning strategies based on evolutionary methods to dynamically adjust the RBF network center, but most of them have problems like the above-mentioned problem that the optimal training value of the global network parameters cannot be obtained, which may lead to problems such as excessive algorithm complexity, long training time, and easy to fall into local minima [ 22 , 23 ].…”
Section: Rbfnn Methods Based On Immune Systemmentioning
confidence: 99%
“…Hospital‐acquired infections are a commonly occurring phenomenon with hundreds of thousands of people affected by these contamination events each year in the United States alone . The establishment of monitoring protocols for identification and elimination of microbial growth could prevent unnecessary contamination, saving the healthcare system billions of dollars, and more importantly, saving lives …”
Section: Introductionmentioning
confidence: 99%