Browsing Cognitive & Neural Systems by Author "Bradski, Gary"

Now showing items 1-7 of 7

Dynamic Programming for Optimal Control of Set-Up Scheduling with Neural Network Modifications

Bradski, Gary (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)

This paper demonstrates an optimal control solution to change of machine set-up scheduling based on dynamic programming average cost per stage value iteration as set forth by Cararnanis et. al. [2] for the 2D case. The ...
Fast Learning VIEWNET Architectures for Recognizing 3-D Objects from Multiple 2-D Views

Bradski, Gary; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-08-01)

The recognition of 3-D objects from sequences of their 2-D views is modeled by a family of self-organizing neural architectures, called VIEWNET, that use View Information Encoded With NETworks. VIEWNET incorporates a ...
Recognition of 3-D Objects from Multiple 2-D Views by a Self-Organizing Neural Architecture

Bradski, Gary; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-01)

The recognition of 3-D objects from sequences of their 2-D views is modeled by a neural architecture, called VIEWNET that uses View Information Encoded With NETworks. VIEWNET illustrates how several types of noise and ...
Store Working Memory Networks for Storage and Recall of Arbitrary Temporal Sequences

Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-03)

Neural network models of working memory, called Sustained Temporal Order REcurrent (STORE) models, are described. They encode the invariant temporal order of sequential events in short term memory (STM) in a way that mimics ...
Working Memories for Storage and Recall of Arbitrary Temporal Sequences

Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)

A working memory model is described that is capable of storing and recalling arbitrary temporal sequences of events, including repeated items. These memories encode the invariant temporal order of sequential events that ...
Working Memory Networks for Learning Multiple Groupings of Temporarily Ordered Events: Applications to 3-D Visual Object Recognition

Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)

Working memory neural networks are characterized which encode the invariant temporal order of sequential events that may be presented at widely differing speeds, durations, and interstimulus intervals. This temporal order ...
Working Memory Networks for Learning Temporal Order, with Application to 3-D Visual Object Recognition

Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-04)

Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely ...

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Browsing Cognitive & Neural Systems by Author "Bradski, Gary"

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