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Data Processing: Artificial Intelligence > Neural Network Neural NetworkNeural Network patent applications listed are from June 2005 to current and include Date, Patent Application Number, Patent Title, Patent Abstract summary and are linked to the corresponding patent application page.10/26/06 - 20060242093 - Methods and apparatus for decoding ldpc codes Methods and apparatus for decoding codewords using message passing decoding techniques which are particularly well suited for use with low density parity check (LDPC) codes and long codewords are described. The described methods allow decoding graph structures which are largely comprised of multiple identical copies of a much smaller graph. ... 10/26/06 - 20060242092 - Method and apparatus for acquisition and administration of medical image data In an apparatus and method for acquisition and administration of medical image data, the apparatus having one or more medical image acquisition modalities for image data acquisition that are to be operated via associated computers, at least one server with an image data storage and at least one workstation computer ... 10/26/06 - 20060242091 - Prioritization of data Prior art methods of receiving, organizing, and implementing the data transmitted to mobile devices, such as ESG fragments, have a great impact on mobile device performance and battery lifetime. Furthermore, in order to keep server side and client side ESG fragments in synch, any change in content of ESG fragments ... 10/05/06 - 20060224534 - Method and apparatus for training a system model with gain constraints using a non-linear programming optimizer Method and apparatus for training a system model with gain constraints. A method is disclosed for training a steady-state model, the model having an input and an output and a mapping layer for mapping the input to the output through a stored representation of a system. A training data set ... 10/05/06 - 20060224533 - Neural network development and data analysis tool A neural network development and data analysis tool provides significantly simplified network development through use of a scripted programming language, such as Extended Markup Language, or a project “wizard.” The system also provides various tools for analysis and use of a trained artificial neural network, including three-dimensional views, skeletonization, and ... 10/05/06 - 20060224532 - Iterative feature weighting with neural networks Systems, methodologies, media, and other embodiments associated with feature weighting in neural networks are described. One exemplary method embodiment includes using a set of weights to scale input feature values. Then the scaled data are used to train a neural net model of the relationship to be learned. The learned ... 10/05/06 - 20060224531 - Method and apparatus for computational analysis A method for computational analysis includes collecting an application dataset and extracting one or more features from the application dataset in order to generate an utilization workload model. An apparatus for providing computational analysis is also described. ... 08/17/06 - 20060184467 - Sensor and sensor program storage medium where V0 indicates an input, V1 indicates an output, and ε1 indicates a delay. The pattern generator is structured by a recurrent neural network including a loop of a stream of signals. When the pattern generator fetches a detected signal input from the signal input section, and the detected signal ... // - 1 - ... // - 1 - ... // - 1 - ... 08/17/06 - 20060184466 - Fractal memory and computational methods and systems based on nanotechnology Fractal memory systems and methods include a fractal tree that includes one or more fractal trunks. One or more object circuits are associated with the fractal tree. The object circuit(s) is configured from a plurality of nanotechnology-based components to provide a scalable distributed computing architecture for fractal computing. Additionally, a ... 08/17/06 - 20060184465 - Neural network element with reinforcement/attenuation learning A neural network element, outputting an output signal in response to a plurality of input signals, comprises a history memory for accumulating and storing the plurality of input signals in a temporal order as history values. It also includes an output module for outputting the output signal when an internal ... 07/06/06 - 20060149692 - Neural networks with learning and expression capability A neural network comprising a plurality of neurons in which any one of the plurality of neurons is able to associate with itself or another neuron in the plurality of neurons via active connections to a further neuron in the pluarlity of neurons. ... 05/25/06 - 20060112028 - Neural network and method of training Methods of training neural networks (100, 600) that include one or more inputs (102-108) and a sequence of processing nodes (110, 112, 114, 116) in which each processing node may be coupled to one or more processing nodes that are closer to an output node are provided. The methods include ... 03/09/06 - 20060053086 - Method and apparatus for removing visible artefacts in video images A method and apparatus are provided for removing regularly occurring visible artefacts in decompressed video images. Firstly a decompressed video signal is received. This is filtered frame by frame to extract data related to the artefacts. The thus extracted data is then processed in a neural network processor which has ... 11/03/05 - 20050246297 - Genetic algorithm based selection of neural network ensemble for processing well logging data A system and method for generating a neural network ensemble. Conventional algorithms are used to train a number of neural networks having error diversity, for example by having a different number of hidden nodes in each network. A genetic algorithm having a multi-objective fitness function is used to select one ... 07/14/05 - 20050154689 - Method and apparatus of creating application-specific, non-uniform wavelet transforms A method and an apparatus of designing a set of wavelet basis trained to fit a particular problem. The method and apparatus include constructing a neural network of arbitrary complexity using a discrete and finite Radon transform, feeding an input wavelet prototype through the neural network and its backpropagation to ... ### FreshPatents.com Support |