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Neural-space generalization of a topological transformation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf00344139openalex-snapshot
Self-control in neural nets
inferredcites →https://doi.org/10.1016/0022-5193(61)90046-7openalex-snapshot
Outline of a theory of thought-processes and thinking machines
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Functional Architecture of Cortical Networks Underlying Visual Reaching
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Neural networks and the inverse kinematics problem
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A neural network learns trajectory of motion from the least action principle
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A learned neural network that simulates properties of the neuronal population vector
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A network model for the control of the movement of a redundant manipulator
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Camera-robot transform for vision-guided tracking in a manufacturing work cell
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Artificial neural network based robot control: An overview
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Neural networks for control systems—A survey
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A back-propagation neural network model of lumbar muscle recruitment during moderate static exertions
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Neurocomputing Formalisms for Computational Learning and Machine Intelligence
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A Medical Expert System Approach Using Artificial Neural Networks for Standardized Treatment Planning
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Neural Network Models for Promoter Recognition
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Neutral learning of constrained nonlinear transformations
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On the computation of the direct kinematics of parallel manipulators using polynomial networks
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Joint VAr controller implemented in an artificial neural network environment
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Robot control using neural networks
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A partially recurrent neural network to perform trajectory planning, inverse kinematics, and inverse dynamics
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A multilayered neural network composed of backpropagation and Hopfield nets and internal space representation
inferred← citeshttps://doi.org/10.1109/ijcnn.1990.137905openalex-snapshot
Response learning
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Joint VAr controller implemented in an artificial neural network environment
inferred← citeshttps://doi.org/10.1109/imc.1990.687317openalex-snapshot
Learning strategies for a vision based neural controller for a robot arm
inferred← citeshttps://doi.org/10.1109/isic.1992.225138openalex-snapshot
Interpolative robot control with the nested network approach
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Neural Net Based Optimal Feedback Control Laws
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Direct Kinematics Problem of Parallel Robot Based on LS-SVM
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A Matrix Method for Optimizing a Neural Network
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Design and development of a high force actuator using giant magnetostrictive material
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