Self–organization with partial data
T Samad, SA Harp - Network: Computation in Neural Systems, 1992 - Taylor & Francis
We show how the kohonen self-organizing feature map model can be extended so that
partial training data can be utilized. Given input stimuli in which values for some elements or …
partial training data can be utilized. Given input stimuli in which values for some elements or …
Sensor selection by reliability based on possibility measure
Robotic or manufacturing systems become more and more complex for adapting to various
environmental conditions. In these systems, sensor fusion methods for estimating states of a …
environmental conditions. In these systems, sensor fusion methods for estimating states of a …
Haptic sensing system with active perception
Y Sakaguchi - Advanced robotics, 1993 - Taylor & Francis
Human haptic perception is not caused by simple mechanical stimulation to the skin; it is
achieved by integrating sensory information from various receptors (such as mechano …
achieved by integrating sensory information from various receptors (such as mechano …
Neurodynamics with spatial self-organizations
M Zak - Biological cybernetics, 1991 - Springer
A neural network architecture with self-organization in phase and actual space is proposed
and discussed. Special type of differential local interconnections simulating diffusion …
and discussed. Special type of differential local interconnections simulating diffusion …
Acquisition of sensor fusion rule based on environmental condition in sensor fusion system
F Kobayashi, Y Tanabe, T Fukuda… - Proceedings Joint 9th …, 2001 - ieeexplore.ieee.org
The manufacturing systems have become more and more complex for adapting to various
process conditions. Recently, various and numerous sensors are equipped in the systems …
process conditions. Recently, various and numerous sensors are equipped in the systems …
Sensor selected fusion with sensor selection based gating neural network
F Kobayashi, T Fukui, F Arai, T Fukuda… - 2002 IEEE World …, 2002 - ieeexplore.ieee.org
Manufacturing systems have become more and more complex for adapting to various
process conditions. Various and numerous sensors are equipped in the system for …
process conditions. Various and numerous sensors are equipped in the system for …
Adaptation, learning and evolution for intelligent systems
T Fukuda, F Kobayashi - FUZZ-IEEE'99. 1999 IEEE …, 1999 - ieeexplore.ieee.org
Intelligent systems are required in knowledge engineering, computer science, mechatronics
and robotics. This paper discusses the machine (system) intelligence from the viewpoints of …
and robotics. This paper discusses the machine (system) intelligence from the viewpoints of …
Sensor Selection by Reliability Based on Possibility Measure and Its Application to Grinding Process
F KOBAYASHI, F ARAI, T FUKUDA… - Transactions of the …, 2000 - jstage.jst.go.jp
Manufacturing systems become complex more and more for adapting to various
environmental conditions. In these systems, sensor fusion methods for estimating states of a …
environmental conditions. In these systems, sensor fusion methods for estimating states of a …
[图书][B] Semi-supervised learning for connectionist networks
RJ Robare - 2010 - search.proquest.com
At the computational level, language is often assumed to require both supervised and
unsupervised learning. Although we have a certain understanding of these computational …
unsupervised learning. Although we have a certain understanding of these computational …
Representing and Recognizing Figures Based on Constraints from the External World
Y SAKAGUCHI, K NAKANO - … of the Society of Instrument and …, 1992 - jstage.jst.go.jp
When perceiving an object, human beings can construct its internal image from its
fragmental features and recognize it based on the image, without observing it all over. In this …
fragmental features and recognize it based on the image, without observing it all over. In this …