A hierarchical structure of the statistical mod els involving the parametric state space generalized state space and self organizing state space models is explained It is shown that by considering higher level modeling it is possible to devel op models quite freely and then to extract essential information from data which has been di cult to obtain due to the use of restricted models It is also...

The questions of why there are so few women in engineering and how to change cultures be more inclusive have garnered much social scientific research considerable funding. Despite numerous findings interventions, no studies our knowledge analyzed difference is constituted discursively, materially, affectively ways that deeply embedded occupational societal cultures. This study takes an affectiv...

|Many of the properties of the well-known Koho-nen map algorithm are not easily derivable from its discrete formulation. For instance, the \projection" implemented by the map from a high dimensional input space to a lower dimensional map space must be properly regarded as a projection from a smooth manifold to a lattice and, in this framework , some of its property are not easily identiied. Thi...

This paper shows that a system with two link arm can obtain arm reaching movement to a target object by combination of reinforcement learning and dynamic self organizing map. Proposed model in this paper present state and action space of reinforcement learning with dynamis self organizing maps. Because these spaces are continuous. proposed model uses two dynamic self-organizing maps (DSOM) to e...

This paper discusses concepts for constructing self-organizing hierarchies of agents to realize intelligent systems. Several hierarchies are introduced, including goal, model, control, and supervisory. Prior literature developed many essential components, but not general methods for organizing them into complete agents. We propose an architecture for extracting and organizing usable knowledge f...

Many of the properties of the well-known Kohonen map algorithm are not easily derivable from its discrete formulation. For instance, the “projection” implemented by the map from a high dimensional input space to a lower dimensional map space must be properly regarded as a projection from a smooth manifold to a lattice and, in this framework, some of its property are not easily identified. This ...

This paper presents a method for creating interlingual wordto-word or phrase-to-phrase mappings between any two languages using the self-organizing map algorithm. The method can be used as a component in a statistical machine translation system. The conceptual space created by the self-organizing map serves as a kind of interlingual representation. The specific problems of machine translation a...