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| Number | Title | Issue Date |
| RE41658 | Low-voltage, very-low-power conductance mode neuron A neural network including a number of synaptic weighting elements, and a neuron stage; each of the synaptic weighting elements having a respective synaptic input connection supplied with a respective input signal; and the neuron stage having inputs connected to the... | 09/07/2010 |
| 7398260 | Effector machine computation An Effector machine is a new kind of computing machine. When implemented in hardware, the Effector machine can execute multiple instructions simultaneously because every one of its computing elements is active. This greatly enhances the computing speed. By executing... | 07/08/2008 |
| 7293002 | Self-organizing data driven learning hardware with local interconnections A method for organizing processors to perform artificial neural network tasks is provided. The method provides a computer executable methodology for organizing processors in a self-organizing, data driven, learning hardware with local interconnections. A training da... | 11/06/2007 |
| 7266456 | Method for management of multiple wells in a reservoir A method of managing multiple wells connected to a reservoir comprises the steps of: setting production and performance goals for each individual well; monitoring the performance of each individual well; ... | 09/04/2007 |
| 7222112 | Engine control system using a cascaded neural network A method, system and machine-readable storage medium for monitoring an engine using a cascaded neural network that includes a plurality of neural networks is disclosed. In operation, the method, system and machine-readable storage medium store data corresponding to ... | 05/22/2007 |
| 7159027 | Method and device for communicating data within a network by combining different communication approaches A method and device are disclosed for optimizing use of a plurality of different approaches to communicating data. The device includes a plurality of different components, each component capable of being utilized by the device in communicating data with other device... | 01/02/2007 |
| 7143073 | Method of generating a test suite The invention relates to generating a test suite of instructions for testing the operation of a processor. A fuzzy finite state machine with a plurality of states 2 and transitions 4 determined by weights W1, W2 . . . W10 is used t... | 11/28/2006 |
| 7143071 | Method for changing CPU frequency under control of neural network A method for changing the CPU frequency under control of a neural network. The neural network has m basis functions and n basis points that are connected together. Using the learning capability of the neural network to deduce basis weights based on dummy environment... | 11/28/2006 |
| 7080053 | Neural network device for evolving appropriate connections A method for evolving appropriate connections among units in a neural network includes a) calculating weight changes at each existing connection and incipient connections between units for each training example; and b) determining a K ratio using the weight changes,... | 07/18/2006 |
| 7035834 | Engine control system using a cascaded neural network A method, system and machine-readable storage medium for monitoring an engine using a cascaded neural network that includes a plurality of neural networks is disclosed. In operation, the method, system and machine-readable storage medium store data corresponding to ... | 04/25/2006 |
| 7016886 | Artificial neurons including weights that define maximal projections An artificial neuron includes inputs and dendrites, a respective one of which is associated with a respective one of the inputs. A respective dendrite includes a respective power series of weights. The weights in a given power of the power series represent a maximal... | 03/21/2006 |
| 6999953 | Analog neurons and neurosynaptic networks An analog neural computing medium, neuron and neural networks are disclosed. The neural computing medium includes a phase change material that has the ability to cumulatively respond to multiple input signals. Input signals induce transformations among a plurality o... | 02/14/2006 |
| 6959215 | Methods for treating essential tremor A method for treating essential tremor includes directing a patient to perform a muscle action, for example a postural or kinetic muscle action. The method can further include collecting information, with the information corresponding to a level of neural activity i... | 10/25/2005 |
| 6876989 | Back-propagation neural network with enhanced neuron characteristics A neural network system includes a feedforward network comprising at least one neuron circuit for producing an activation function and a first derivative of the activation function and a weight updating circuit for producing updated weights to the feedforward networ... | 04/05/2005 |
| 6844582 | Semiconductor device and learning method thereof A learning method of a semiconductor device of the present invention comprises a neuro device having a multiplier as a synapse in which a weight varies according to an input weight voltage, and functioning as a neural network system that processes analog data, compr... | 01/18/2005 |
| 6792412 | Neural network system and method for controlling information output based on user feedback A system and method for controlling information output based on user feedback about the information that includes a plurality of information sources. At least one neural network module selects one or more of a plurality of objects to receive information from the plu... | 09/14/2004 |
| 6768927 | Control system The invention relates to a control system to which a state vector representing the states of a controlled system is applied. The control system provides a correcting variables vector of optimized correcting variables. The relation between state vector and correcting... | 07/27/2004 |
| 6735578 | Indexing of knowledge base in multilayer self-organizing maps with hessian and perturbation induced fast learning A system and a method for an automated intelligent information mining includes receiving product-related queries and respective product-related information from various text sources; extracting multiple key-phrases from the product-related information and received q... | 05/11/2004 |
| 6665651 | Control system and technique employing reinforcement learning having stability and learning phases A feedback control system for automatic on-line training of a controller for a plant, the system having a reinforcement learning agent connected in parallel with the controller. The learning agent comprises an actor network and a critic network operativel... | 12/16/2003 |
| 6665639 | Speech recognition in consumer electronic products A method and apparatus are described that allow inexpensive speech recognition in applications where this capability is not otherwise feasible because of cost or technical reasons, or because of inconvenience to the user. A relatively simple speaker indep... | 12/16/2003 |
| 6654730 | Neural network arithmetic apparatus and neutral network operation method When neuron operations are computed in parallel using a large number of arithmetic units, arithmetic units for neuron operations and arithmetic units for error signal operations need not be provided separately, and a neural network arithmetic apparatus th... | 11/25/2003 |
| 6581049 | Artificial neurons including power series of weights and counts that represent prior and next association An artificial neuron includes inputs and dendrites, a respective one of which is associated with a respective one of the inputs. Each dendrite includes a power series of weights, and each weight in a power series includes an associated count for the assoc... | 06/17/2003 |
| 6513023 | Artificial neural network with hardware training and hardware refresh A neural network circuit is provided having a plurality of circuits capable of charge storage. Also provided is a plurality of circuits each coupled to at least one of the plurality of charge storage circuits and constructed to generate an output in accor... | 01/28/2003 |
| 6366897 | Cortronic neural networks with distributed processing A cortronic neural network defines connections between neurons in a number of regions using target lists, which identify the output connections of each neuron and the connection strength. Neurons are preferably sparsely interconnected between regions. Tra... | 04/02/2002 |
| 6151592 | Recognition apparatus using neural network, and learning method therefor A recognition apparatus and method using a neural network is provided. A neuron-like element stores a value of its inner condition. The neuron-like element also updates a values of its internal status on the basis of an output from the neuron-like element... | 11/21/2000 |
| 6064997 | Discrete-time tuning of neural network controllers for nonlinear dynamical systems A family of novel multi-layer discrete-time neural net controllers is presented for the control of an multi-input multi-output (MIMO) dynamical system. No learning phase is needed. The structure of the neural net (NN) controller is derived using a filtere... | 05/16/2000 |
| 5852815 | Neural network based prototyping system and method Constructing and simulating artificial neural networks and components thereof within a spreadsheet environment results in user friendly neural networks which do not require algorithmic based software in order to train or operate. Such neural networks can ... | 12/22/1998 |
| 5696883 | Neural network expressing apparatus including refresh of stored synapse load value information A self-organizable neural network expressing unit includes a plurality of neuron units electronically expressing nerve cell bodies, and a plurality of synapse expressing units electronically expressing synapses for coupling neuron units through programmed... | 12/09/1997 |
| 5689621 | Modular feedforward neural network architecture with learning A first feedforward network receives an input vector signal and a plurality of weight signals and forms an output vector signal based thereupon. A second feedforward network, substantially identical to the first feedforward network, receives a first learn... | 11/18/1997 |
| 5625752 | Artificial neural system with binary weighting by equal resistor network An artificial neural system has input operational amplifiers providing differential voltage input signals to a neuron including a voltage divider network having a plurality of substantially equal resistances selectably connectable to the components of the... | 04/29/1997 |
| 5602965 | Laser programmable integrated curcuit for forming synapses in neural networks Customizable neural network in which one or more resistors form each synapse. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extrem... | 02/11/1997 |
| 5537512 | Neural network elements An analog neural network element includes one or more EEPROMs as analog, reprogrammable synapses applying weighted inputs to positive and negative term outputs which are combined in a comparator. In one embodiment a pair of EEPROMs is used in each synapti... | 07/16/1996 |
| 5475794 | Semiconductor neural network and operating method thereof A semiconductor neural network includes a coupling matrix having coupling elements arranged in a matrix which couple with specific coupling strengths internal data input lines to internal data output lines. The internal data output lines are divided into ... | 12/12/1995 |
| 5457771 | Integrated circuit with non-volatile, variable resistor, for use in neuronic network Integrated circuit with a non-volatile variable resistor which is particularly adapted for use in a neuronic network. The integrated circuit comprises a symmetrically replicated structure including a floating gate MOS transistor (TRP; TRN) and an EEPROM m... | 10/10/1995 |
| 5422982 | Neural networks containing variable resistors as synapses A synthetic neural network having a plurality of neuronal elements arranged in an input layer, an output layer, and a hidden layer between the input layer and the output layer. The network has a first plurality of synaptic weighting elements interconnecti... | 06/06/1995 |
| 5396581 | Semiconductor neural network and operating method thereof A semiconductor neural network includes a coupling matrix having coupling elements arranged in a matrix which couple with specific coupling strengths internal data input lines to internal data output lines. The internal data output lines are divided into ... | 03/07/1995 |
| 5381515 | Two layer neural network comprised of neurons with improved input range and input offset A two-layer network according to the present invention is comprised of a first-layer array of electrically-adaptable synaptic elements, inter-layer connection circuitry comprised of electrically adaptable elements, and a second-layer array of electrically... | 01/10/1995 |
| 5369731 | Asynchronous control system for a neuro computer An asynchronous control system for a neuro computer, includes an inter-connected type neural network composed of a plurality of neurons for multiplying a plurality of input signals with corresponding weights, calculating a total sum-of-products of the inp... | 11/29/1994 |
| 5355438 | Weighting and thresholding circuit for a neural network An analog circuit which performs weighting and thresholding for a neural network. Each neuron of the neural network includes an operational amplifier receiving an input signal, the output of which is connected to a transistor. The transistor conducts only... | 10/11/1994 |
| 5298796 | Nonvolatile programmable neural network synaptic array A floating-gate MOS transistor is implemented for use as a nonvolatile analog storage element of a synaptic cell used to implement an array of processing synaptic cells based on a four-quadrant analog multiplier requiring both X and Y differential inputs,... | 03/29/1994 |
