Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Neural Networks: Approximation and Learning Theory
Artificial Neural Networks: Approximation and Learning Theory
Digital hormone models for self-organization
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Immunological Computation: Theory and Applications
Immunological Computation: Theory and Applications
Principles of Artificial Neural Networks
Principles of Artificial Neural Networks
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For the problem of homogeneous endocrine cells and lacking time concept in hormone transportation and metabolism in digital hormone model, a lattice-based artificial endocrine system (LAES) model which is inspired from modern endocrinology theory is proposed. Based upon environmental latticed, supported by cell intellectualization, jointed by cumulative hormone, and directed by target cells, LAES model finally adapts itself to continuous changes of external environment and maintains relevant stability stable of internal environment. Endocrine cells are classed as regular endocrine cells and optimum endocrine cells reflecting the diversity and complexity of endocrine system. The model mimics dynamic process of hormone transportation and the hormone concentration is determined not only by the current distribution of endocrine cells, but also by the past distribution. The experiments show it can eliminate complex interference, such as multi-target cells and multi-obstacles.