منابع مشابه
Self-organizing biochemical cycles.
I examine the plausibility of theories that postulate the development of complex chemical organization without requiring the replication of genetic polymers such as RNA. One conclusion is that theories that involve the organization of complex, small-molecule metabolic cycles such as the reductive citric acid cycle on mineral surfaces make unreasonable assumptions about the catalytic properties ...
متن کاملAre self-organizing biochemical networks emergent?
Biochemical networks are often called upon to illustrate emergent properties of living systems. In this contribution, I question such emergentist claims by means of theoretical work on genetic regulatory models and random Boolean networks. If the existence of a critical connectivity Kc of such networks has often been coined ‘emergent’ or ‘irreducible’, I propose on the contrary that the existen...
متن کاملusing game theory techniques in self-organizing maps training
شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...
Self-organizing News Self-organizing News Self-organizing News Thesis Readers
Automatic newspaper design requires feature organization. An intermediary between an article database and the graphic designer is implemented that organizes features with regard to their style and content. Topics are determined and style assessed through simple keyword analysis augmented by various content-understanding heuristics. Articles are grouped by two means: comparison against predefine...
متن کاملSelf-Organizing Feature Maps with Self-Organizing Neighborhood Widths
Self-organizing feature maps with self-determined local neighborhood widths are applied to construct principal manifolds of data distributions. This task exempli es the problem of the learning of learning parameters in neural networks. The proposed algorithm is based upon analytical results on phase transitions in self-organizing feature maps available for idealized situations. By illustrative ...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2000
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.220406697