2005
DOI: 10.1007/11553090_52
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A Cytokine Formal Immune Network

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Cited by 18 publications
(16 citation statements)
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“…According to [36], FIN is defined as a set of cells W = (V 1 , …, V m ). A cell is a pair V = (c, P), where class c (cytokine type of cell) is natural number c 2 N, P = (p 1 ,…,p q ) is a point of q-dimensional Euclidian space P 2 R q , which lies within unit cube kPk B 1, kPk = max {p 1 , …, p q } is the Tchebyshev norm.…”
Section: Formal Immune Networkmentioning
confidence: 99%
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“…According to [36], FIN is defined as a set of cells W = (V 1 , …, V m ). A cell is a pair V = (c, P), where class c (cytokine type of cell) is natural number c 2 N, P = (p 1 ,…,p q ) is a point of q-dimensional Euclidian space P 2 R q , which lies within unit cube kPk B 1, kPk = max {p 1 , …, p q } is the Tchebyshev norm.…”
Section: Formal Immune Networkmentioning
confidence: 99%
“…Such pre-processing by DTT and SVD provides the mapping of high-dimensional fragment of signal or combination of signals to the points (cells) of low-dimensional space of FIN. Then FIN processes the cells using apoptosis (programmed cell death) and immunization both controlled by cytokines (messenger proteins) [36]. The result of such feature extraction by FIN is estimated by the index of inseparability which has been proposed in [34] in comparison with the Renyi entropy [37,38].…”
mentioning
confidence: 99%
“…This method is used in the implementation of the response evaluation and fault processing of the Built-In Self-Testing system. For a more detailed and extensive explanation of this theory, please refer to [14], [13] and [15].…”
Section: Global Bistmentioning
confidence: 99%
“…In contrast with a FIN, it considers a second stage training or maturation, inspired in the cytokines from the immune system. [14] introduces a two stage second training in order to get a reduced set of cells, therefore improving the resource utilization and the time applied in recognition in the future.…”
Section: Second Stage Trainingmentioning
confidence: 99%
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