1
Jim Shih Liaw, Theodore W Berger: Dynamic synapse for signal processing in neural networks. University of Southern California, Fish & Richardson P C, March 26, 2002: US06363369 (71 worldwide citation)

An information processing system having signal processors that are interconnected by processing junctions that simulate and extend biological neural networks. Each processing junction receives signals from one signal processor and generates a new signal to another signal processor. The response of e ...


2
John S Breese, Carl M Kadie: Methods and apparatus, using expansion attributes having default, values, for matching entities and predicting an attribute of an entity. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, February 5, 2002: US06345264 (71 worldwide citation)

Matching (e.g., via correlation or similarity process) entities having attributes, some of which have associated values. The values of the attributes may be adjusted based on number of entities that have values for a particular attribute so that the values decrease as the number increases. The attri ...


3
Paul J Werbos: 3-brain architecture for an intelligent decision and control system. Oblon Spivak McClelland Maier & Neustadt P C, June 17, 2003: US06581048 (64 worldwide citation)

A method and system for intelligent control of external devices using a mammalian brain-like structure having three parts. The method and system include a computer-implemented neural network system which is an extension of the model-based adaptive critic design and is applicable to real-time control ...


4
John S Breese, Carl M Kadie: Method and apparatus, using attribute set harmonization and default attribute values, for matching entities and predicting an attribute of an entity. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, March 5, 2002: US06353813 (63 worldwide citation)

Matching (e.g., via correlation or similarity process) entities having attributes, some of which have associated values. The values of the attributes may be adjusted based on number of entities that have values for a particular attribute so that the values decrease as the number increases. The attri ...


5
Jim Shih Liaw, Theodore W Berger: Dynamic synapse for signal processing in neural networks. University of Southern California, Fish & Richardson P C, November 4, 2003: US06643627 (53 worldwide citation)

An information processing system having signal processors that are interconnected by processing junctions that simulate and extend biological neural networks. Each processing junction receives signals from one signal processor and generates a new signal to another signal processor. The response of e ...


6
Aloke Chaudhuri: Route optimization and traffic management in an ATM network using neural computing. General Instrument Corporation, Barry R Lipsitz, June 25, 2002: US06411946 (49 worldwide citation)

Neural computing techniques are used to optimize route selection in a communication network, such as an ATM network. Output measurements of the network are used to provide optimal routing selection and traffic management. Specifically, link data traffic is monitored in the network to obtain traffic ...


7

8
George Shu Xing Cheng: Model-free adaptive process control. General Cybernation Group, Harry G Weissenberger, April 25, 2000: US06055524 (38 worldwide citation)

A model-free adaptive controller is disclosed, which uses a dynamic artificial neural network with a learning algorithm to control any single-variable or multivariable open-loop stable, controllable, and consistently direct-acting or reverse-acting industrial process without requiring any manual tun ...


9
Marcos E Guillen, Fernando M Maroto: Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network. Corticaldb, Lumen Patent Firm, June 12, 2012: US08200593 (34 worldwide citation)

A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the ...


10
Gary Howard: Method and apparatus for inducing rules from data classifiers. Cerebrus Solutions, Kevin A Oliver, Foley Hoag & Eliot, January 1, 2002: US06336109 (34 worldwide citation)

A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of:



Click the thumbnails below to visualize the patent trend.