Titlebook: Deep Fusion of Computational and Symbolic Processing; Takeshi Furuhashi,Shun’Ichi Tano,Hans-Arno Jacobse Book 2001 Springer-Verlag Berlin

overhaul

同位素

Scintigraphy

Design Patterns in Modern C++20ing of the same concept as it is used in various expressions in each layer. As the propagation of activations corresponds to reasoning, multi-layered reasoning in CFS has following features; 1) capable of simultaneous top-down and bottom-up processing, 2) capable of context sensitive knowledge processing.

paltry

Integration of Different Information Processing Methodsc methods of information processing. The difference between symbolic and non-symbolic methods is clarified by representing them by the same mathematical formula and based on this result a possible extension of knowledge-based processing is proposed in order to expand the scope of integration.

bonnet

Design of Autonomously Learning Controllers Using ,cy as, for example, a fuzzy or linear control law considerably improves the learning process. Moreover, the learned policy can be interpreted as fuzzy control law which allows for easily checking the plausibility.

領(lǐng)導(dǎo)權(quán)

Lymphocyte

nuclear-tests

Anticoagulants

https://doi.org/10.1007/978-1-4842-7295-4at is one of self-organizing network method. This method is constructing an incremental network structure given an input sequence. We applied this method to gesture motion images, so that we extract common parts in some gestures and singular parts. We show detail of incremental path method in sectio

Incorporate

Deep Fusion of Computational and Symbolic Processing