Principles and methods of artificial immune system vaccination of learning systems

摘要: Our body has evolved a complex system to combat viruses and other pathogens. Computing researchers have started paying increasing attention natural immune systems because of their ability learn how distinguish between pathogens non-pathogens using immunoglobulins, antibodies memory cells. There are now several artificial algorithms for learning inspired by the human system. Once gains immunity specific disease it generally remains free from almost life. One way build such is through vaccination. Vaccination process stimulating weaker infectious agent or extracting proteins an agent. A vaccine typically activates response in form generation antibodies, which cloned hyper-mutated bind antigens (fragments) The main aim this paper explore effectiveness vaccination systems, where cells introduced into evaluate performance. Artificial neural networks used model synthesize material injecting process. Two phenomena namely, immune-suppression autoimmune disease, also explored discussed terms hyper mutation antibodies.