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5105468 Time delay neural network for printed and cursive handwritten character recognition
VI
N e w Patents
5101349 NATURAL LANGUAGE PROCESSING SYSTEM Yoshihlr Tokuume, Shogo Shlbata, Kolchi Masegi, Machida, Japan assigned to Canon Kabushiki Kaisha A natural language arrangement includes stored grammatical rules each having a phrase structure part representing grammatical functions, a semantic part representing the manner of propagation from a superordinate category to a subordinate category, a condition part, and a message part that imposes limitations on a phrase structure rule using the subordinate category as a superordinate category. The grammatical rules are searched and interpreted to generate a phrase structure for a sentence from grammatical funcnon reformation obtained by interpreting and applying the searched grammatical rules.
An expert system includes a blackboard, a plurality of knowledge sources, a control knowledge source and a control module. The blackboard stores data used during an execution cycle. Each knowledge source includes rules for performing selected operations in connection with the data in the blackboard. The control knowledge source includes selection rules for selecting among the knowledge sources. The control module performing an execution cycle including an eliglbihty determination phase to identify one or more of the knowledge sources, a knowledge source selection phase using the selection rules in said control knowledge source to select one of the identified knowledge sources, and an action phase to process a rule of the selected knowledge source.
5105468 5101361 ANALOG HARDWARE FOR DELTA-BACKPROPAGATION NEURAL NETWORKS Sllvlo P Eberhardt assigned to The United States of America as represented by the Administrator of the National Aeronautics and Space Administration This is a fully parallel analog backpropagatlon learning processor which comprises a plurality of programmable resistive memory elements serving as synapse connections whose values can be weighted during learning with buffer amplifiers, summing circuits, and sample-and-hold circuits arranged in a plurality of neuron layers in accordance with delta-backpropagation algorithms modified so as to control weight changes due to circmt drift
5101362 MODULAR BLACKBOARD EXPERT SYSTEM
BASED
Evangelos Slmoudis assigned to Digital Equipment Corporation
TIME DELAY NEURAL NETWORK FOR PRINTED AND CURSIVE HANDWRITTEN CHARACTER RECOGNITION Isabelle Guyon, John S Denker, Yan LeCun assigned to AT&T Bell Laboratories A time delay neural network is defined having feature detection layers which are constrained for extracting features and subsampling a sequence of feature vectors input to the particular feature detection layer. Output from the network for both digit and uppercase letters is provided by an output classification layer which is fully connected to the final feature detection layer. Each feature vector relates to coordinate reformation about the original character preserved in a temporal order together with additional information related to the original character at the particular coordinate point Such additional information may include local geometric information, local pen information, and phantom stroke coordinate information relating to connecting segments between the end point of one stroke and the beginning point of another stroke. The network is also defined to increase the number of feature elements in each feature vector from one feature detection layer to the next. That is, as the network is reducing its dependence on temporally related features, it is increasing its dependence on more features and more complex features
N e w Patents
5101349 NATURAL LANGUAGE PROCESSING SYSTEM Yoshihlr Tokuume, Shogo Shlbata, Kolchi Masegi, Machida, Japan assigned to Canon Kabushiki Kaisha A natural language arrangement includes stored grammatical rules each having a phrase structure part representing grammatical functions, a semantic part representing the manner of propagation from a superordinate category to a subordinate category, a condition part, and a message part that imposes limitations on a phrase structure rule using the subordinate category as a superordinate category. The grammatical rules are searched and interpreted to generate a phrase structure for a sentence from grammatical funcnon reformation obtained by interpreting and applying the searched grammatical rules.
An expert system includes a blackboard, a plurality of knowledge sources, a control knowledge source and a control module. The blackboard stores data used during an execution cycle. Each knowledge source includes rules for performing selected operations in connection with the data in the blackboard. The control knowledge source includes selection rules for selecting among the knowledge sources. The control module performing an execution cycle including an eliglbihty determination phase to identify one or more of the knowledge sources, a knowledge source selection phase using the selection rules in said control knowledge source to select one of the identified knowledge sources, and an action phase to process a rule of the selected knowledge source.
5105468 5101361 ANALOG HARDWARE FOR DELTA-BACKPROPAGATION NEURAL NETWORKS Sllvlo P Eberhardt assigned to The United States of America as represented by the Administrator of the National Aeronautics and Space Administration This is a fully parallel analog backpropagatlon learning processor which comprises a plurality of programmable resistive memory elements serving as synapse connections whose values can be weighted during learning with buffer amplifiers, summing circuits, and sample-and-hold circuits arranged in a plurality of neuron layers in accordance with delta-backpropagation algorithms modified so as to control weight changes due to circmt drift
5101362 MODULAR BLACKBOARD EXPERT SYSTEM
BASED
Evangelos Slmoudis assigned to Digital Equipment Corporation
TIME DELAY NEURAL NETWORK FOR PRINTED AND CURSIVE HANDWRITTEN CHARACTER RECOGNITION Isabelle Guyon, John S Denker, Yan LeCun assigned to AT&T Bell Laboratories A time delay neural network is defined having feature detection layers which are constrained for extracting features and subsampling a sequence of feature vectors input to the particular feature detection layer. Output from the network for both digit and uppercase letters is provided by an output classification layer which is fully connected to the final feature detection layer. Each feature vector relates to coordinate reformation about the original character preserved in a temporal order together with additional information related to the original character at the particular coordinate point Such additional information may include local geometric information, local pen information, and phantom stroke coordinate information relating to connecting segments between the end point of one stroke and the beginning point of another stroke. The network is also defined to increase the number of feature elements in each feature vector from one feature detection layer to the next. That is, as the network is reducing its dependence on temporally related features, it is increasing its dependence on more features and more complex features