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"Rail travel at high speeds is not possible because passengers, unable to breathe, would die of asphyxia."
Dionysius Lardner, Professor of Natural Philosophy and Astronomy at University College, London ; 1830
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| Application No. | Application Title | Issue Date |
| 20120109864 | NEUROMORPHIC AND SYNAPTRONIC SPIKING NEURAL NETWORK WITH SYNAPTIC WEIGHTS LEARNED USING SIMULATION Embodiments of the invention provide neuromorphic-synaptronic systems, including neuromorphic-synaptronic circuits implementing spiking neural network with synaptic weights learned using simulation. One embodiment includes simulating a spiking neural network to generate... | 05/03/2012 |
| 20120109865 | USING AFFINITY MEASURES WITH SUPERVISED CLASSIFIERS A non-binary affinity measure between any two data points for a supervised classifier may be determined. For example, affinity measures may be determined for tree, kernel-based, nearest neighbor-based and neural network supervised classifiers. By providing non-binary af... | 05/03/2012 |
| 20120109863 | CANONICAL SPIKING NEURON NETWORK FOR SPATIOTEMPORAL ASSOCIATIVE MEMORY Embodiments of the invention relate to canonical spiking neurons for spatiotemporal associative memory. An aspect of the invention provides a spatiotemporal associative memory including a plurality of electronic neurons having a layered neural net relationship with dire... | 05/03/2012 |
| 20120083933 | METHOD AND SYSTEM TO PREDICT POWER PLANT PERFORMANCE The present disclosure relates to the use of hybrid predictive models to predict one or more of performance, availability, or degradation of a power plant or a component of the power plant. The hybrid predictive model comprises at least two model components, one based o... | 04/05/2012 |
| 20120072383 | METHOD FOR THE SELECTION OF ATTRIBUTES FOR STATISTICAL LEARNING FOR OBJECT DETECTION AND RECOGNITION The invention relates to an attribute selection method for making statistical learning of descriptors intended to enable automatic recognition and/or detection of an object from a set of images, method characterized by the following steps:
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| 20120041797 | PROGRESS MONITORING METHOD The progress monitoring method is based on a critical path method (CPM) and conducts comparisons against multiple possible outcomes utilizing neural networks that classify planned progress at specified cut-off dates during a planning stage. The classifications are used ... | 02/16/2012 |
| 20120023052 | SYSTEMS, METHODS, AND APPARATUS FOR OTOACOUSTIC PROTECTION OF AUTONOMIC SYSTEMS Systems, methods and apparatus are provided through which in some embodiments an autonomic unit transmits an otoacoustic signal to counteract a potentially harmful incoming signal.... | 01/26/2012 |
| 20120023045 | Recommender System with Training Function Based on Non-Random Missing Data A processing device of an information processing system is operative to obtain observed feedback data, to construct a model that accounts for both the observed feedback data and additional feedback data that is missing from the observed feedback data, to optimize one or... | 01/26/2012 |
| 20120011087 | METHODS AND SYSTEMS FOR REPLACEABLE SYNAPTIC WEIGHT STORAGE IN NEURO-PROCESSORS Certain embodiments of the present disclosure support techniques for storing synaptic weights separately from a neuro-processor chip into a replaceable storage. The replaceable synaptic memory gives a unique functionality to the neuro-processor and improves its flexibil... | 01/12/2012 |
| 20120011089 | METHODS AND SYSTEMS FOR NEURAL PROCESSOR TRAINING BY ENCOURAGEMENT OF CORRECT OUTPUT Certain embodiments of the present disclosure support implementation of a neural processor with synaptic weights, wherein training of the synapse weights is based on encouraging a specific output neuron to generate a spike. The implemented neural processor can be applie... | 01/12/2012 |
| 20120011088 | COMMUNICATION AND SYNAPSE TRAINING METHOD AND HARDWARE FOR BIOLOGICALLY INSPIRED NETWORKS Certain embodiments of the present disclosure support techniques for training of synapses in biologically inspired networks. Only one device based on a memristor can be used as a synaptic connection between a pair of neurons. The training of synaptic weights can be achi... | 01/12/2012 |
| 20120005141 | NEURAL NETWORK SYSTEM A neural network system that can minimize circuit resources for constituting a self-learning mechanism and be reconfigured into network configurations suitable for various purposes includes a neural network engine that operates in a first and a second operation mode and... | 01/05/2012 |
| 20110307432 | RELEVANCE FOR NAME SEGMENT SEARCHES Improved search result relevance is provided for name segment searches performed by a general web search engine. Entity-related information is mined from web documents and search engine query logs, and metadata is indexed in a search system index. The metadata may inclu... | 12/15/2011 |
| 20110289030 | METHOD AND SYSTEM FOR CLASSIFYING BRAIN SIGNALS IN A BCI A method or system for classifying brain signals in a BCI. The system comprises a model building unit for building a subject-independent model using labelled brain signals from a pool of subjects.... | 11/24/2011 |
| 20110282819 | DATA ANALYSIS METHOD AND SYSTEM The present invention relates to the analysis of data to identify relationships between the input data and one or more conditions. One method of analysing such data is by the use of neural networks which are non-linear statistical data modelling tools, the structure of ... | 11/17/2011 |
| 20110270770 | CUSTOMER PROBLEM ESCALATION PREDICTOR The likelihood of a problem report being escalated to a critical status in a customer service environment is predicted by receiving historical Problem Management Records for which associated problems have been resolved and final criticality statuses have been determined... | 11/03/2011 |
| 20110270789 | COMPETITIVE BCM LEARNING RULE FOR IDENTIFYING FEATURES Disclosed are systems, apparatuses, and methods for implementing a competitive BCM learning rule used in a neural network. Such a method includes identifying a maximally responding neuron with respect to a feature of an input signal. The maximally responding neuron is t... | 11/03/2011 |
| 20110239020 | POWER MANAGEMENT BASED ON AUTOMATIC WORKLOAD DETECTION An electronic device includes a kernel, a power manager to control power to a hardware component, and a neural network to monitor the kernel to recognize performance of a function of the electronic device. The neural network sends a signal to the power manager to reduce... | 09/29/2011 |
| 20110202489 | LEARNING AND AUDITORY SCENE ANALYSIS IN GRADIENT FREQUENCY NONLINEAR OSCILLATOR NETWORKS A method for learning connections between nonlinear oscillators in a neural network comprising the steps of providing a plurality of nonlinear oscillators, with each respective oscillator producing an oscillation distinct from the others in response to an input and dete... | 08/18/2011 |
| 20110196819 | METHOD FOR APPROXIMATION OF OPTIMAL CONTROL FOR NONLINEAR DISCRETE TIME SYSTEMS A method for approximation of optimal control for a nonlinear discrete time system in which the state variables are first obtained from a system model. Control sequences are then iteratively generated for the network to optimize control variables for the network and in ... | 08/11/2011 |
| 20110191275 | SYSTEM AND METHOD TO ESTIMATE REGION OF TISSUE ACTIVATION A computer-implemented method for determining the volume of activation of neural tissue. In one embodiment, the method uses one or more parametric equations that define a volume of activation, wherein the parameters for the one or more parametric equations are given as ... | 08/04/2011 |
| 20110184898 | Weight-Prediction System and Method Thereof The present invention provides a weight-prediction method comprising the following steps: providing the first-period data and the second-period data of basic users and proving users, respectively; using an Artificial Neural Network method to analyze the first-period dat... | 07/28/2011 |
| 20110161267 | SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS BASED ON CONCURRENT USE OF CURRENT AND RECORDED DATA Various embodiments of the invention are neural network adaptive control systems and methods configured to concurrently consider both recorded and current data, so that persistent excitation is not required. A neural network adaptive control system of the present invent... | 06/30/2011 |
| 20110154109 | CONTINUOUS, AUTOMATED DISCOVERY OF BUGS IN RELEASED SOFTWARE According to aspects illustrated herein, there is provided a method, system, and computing device for identifying bugs in a software application. The method provides for hosting the software application on a cloud server and providing the software application to a group... | 06/23/2011 |
| 20110145180 | Diagnostic Method for a Process Automation System A diagnostic method for a process automation system composed of at least one field device, a control unit, and at least one fieldbus. The following method steps are included: in a learning phase raw data of measured variables, raw data of manipulated variables and/or ra... | 06/16/2011 |
| 20110137781 | Intermarket Analysis A method and a system for performing intermarket analysis. The method can include, from a pool of available markets in which at least one key intermarket has been selected and removed, selecting at least one market as a general intermarket, and removing the market selec... | 06/09/2011 |
| 20110131166 | FUZZY USERS' ATTRIBUTES PREDICTION BASED ON USERS' BEHAVIORS A method, apparatus, system, article of manufacture, and computer readable storage medium provide the ability to predict and utilize a user's attributes. A sample user behavior and a sample user attribute are collected. A model is trained based on the sample user behavi... | 06/02/2011 |
| 20110125686 | Method for identifying Hammerstein models The computerized method for identifying Hammerstein models is a method in which the linear dynamic part is modeled by a space-state model and the static nonlinear part is modeled using a radial basis function neural network (RBFNN). Accurate identification of a Hammerst... | 05/26/2011 |
| 20110106741 | SYSTEM FOR ADDRESS-EVENT-REPRESENTATION NETWORK SIMULATION A system, method, and design structure for address-event-representation network simulation are provided. The system includes a hardware structure with a plurality of interconnected processing modules configured to simulate a plurality of interconnected nodes. To simulat... | 05/05/2011 |
| 20110087628 | Methods for Updating and Training for a Self-Organising Card The updating method comprises selecting the best winning neuron and second best winning neuron, modifying the prototype vectors of the best winning neuron and the neurons located around the best winning neuron in the direction of the vector of the learning point (x(k)),... | 04/14/2011 |
| 20110087627 | USING NEURAL NETWORK CONFIDENCE TO IMPROVE PREDICTION ACCURACY Systems and methods may be provided for generating a prediction using neural networks. The system and methods may include training a plurality of neural networks with training data, calculating an output value for each of the plurality of neural networks based at least ... | 04/14/2011 |
| 20110077484 | Systems And Methods For Identifying Non-Corrupted Signal Segments For Use In Determining Physiological Parameters According to embodiments, non-corrupted signal segments are detected by a data modeling processor implementing an artificial neural network. The neural network may be trained to detect artifact in the signal (e.g., a PPG signal or some wavelet representation of a PPG si... | 03/31/2011 |
| 20110066580 | CODEBOOK GENERATING METHOD A codebook generating method comprises a dividing and transforming step dividing an original image into original blocks and transforming the original blocks into original vectors; a dividing step grouping the original vectors to obtain centroids; a first layer neuron tr... | 03/17/2011 |
| 20110055131 | METHOD OF UNIVERSAL COMPUTING DEVICE A method for using artificial neural networks as a universal computing device to model the relationship between the training inputs and corresponding outputs and to solve all problems with estimation, classification, and ranking tasks in their nature. Raw data related t... | 03/03/2011 |
| 20110029471 | DYNAMICALLY CONFIGURABLE, MULTI-PORTED CO-PROCESSOR FOR CONVOLUTIONAL NEURAL NETWORKS A coprocessor and method for processing convolutional neural networks includes a configurable input switch coupled to an input. A plurality of convolver elements are enabled in accordance with the input switch. An output switch is configured to receive outputs from the ... | 02/03/2011 |
| 20110016001 | METHOD AND APPARATUS FOR RECOMMENDING BEAUTY-RELATED PRODUCTS Disclosed is a method for recommending products to a potential customer, comprising obtaining an image of a customer, creating an image vector template of a customer, matching the image vector template of the customer with stored templates by local feature analysis temp... | 01/20/2011 |
| 20110004579 | Neuromorphic Circuit Embodiments of the present invention are directed to neuromorphic circuits containing two or more internal neuron computational units. Each internal neuron computational unit includes a synchronization-signal input for receiving a synchronizing signal, at least one inpu... | 01/06/2011 |
| 20100324848 | APPARATUS AND METHOD FOR TESTING STATE OF CHARGE IN BATTERY Disclosed is an apparatus and method for estimating a state of charge (SOC) in a battery, in which the battery SOC is estimated using a fusion type soft computing algorithm, thereby accurately estimating the battery SOC in a high C-rate environment. The apparatus includ... | 12/23/2010 |
| 20100312736 | Critical Branching Neural Computation Apparatus and Methods A neural network comprising artificial neurons interconnected by connections, wherein each artificial neuron is configured to receive an input signal from and send an output signal to one or more of the other artificial neurons through one of the connections; each input... | 12/09/2010 |
| 20100312735 | IMPLEMENTING A NEURAL ASSOCIATIVE MEMORY BASED ON NON-LINEAR LEARNING OF DISCRETE SYNAPSES This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neu... | 12/09/2010 |
