Felix Hoffmann, a German chemist, was searching for something to relieve his father's arthritis. In doing so, he "rediscovered" acetylsalicylic acid and in 1900, patented a stable process for developing it. Hence, we have aspirin.
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| Number | Title | Issue Date |
| 7672920 | Apparatus and method for embedding recurrent neural networks into the nodes of a self-organizing map A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-... | 03/02/2010 |
| 7440930 | Training an attentional cascade Methods and apparatus, including computer program products, implementing techniques for training an attentional cascade. An attentional cascade is an ordered sequence of detector functions, where the detector functions are functions that examine a target image and r... | 10/21/2008 |
| 7373333 | Information processing apparatus and method, program storage medium and program An information processing method and an information processing apparatus in which the learning efficiency may be improved and the scale may be extended readily. An integrated module 42 is formed by a movement pattern learning module by a local expression sche... | 05/13/2008 |
| 7353088 | System and method for detecting presence of a human in a vehicle A system for detecting the presence of a human in a vehicle is provided. The system includes a vibration sensor that is configured to detect vibrations of the vehicle, and to output signals related to the sensed vibrations. A processor is configured to receive the s... | 04/01/2008 |
| 7324980 | Information processing apparatus and method This invention relates to an information processing device and method that enable generation of an unlearned new pattern. Data xt corresponding to a predetermined time series pattern is inputted to an input layer (11) of a recurrent neural network ... | 01/29/2008 |
| 7321882 | Method for supervised teaching of a recurrent artificial neural network A method for the supervised teaching of a recurrent neutral network (RNN) is disclosed. A typical embodiment of the method utilizes a large (50 units or more), randomly initialized RNN with a globally stable dynamics. During the training period, the output units of ... | 01/22/2008 |
| 7280989 | Phase-locked loop oscillatory neurocomputer A neural network computer (20) includes a weighting network (21) coupled to a plurality of phase-locked loop circuits (251-25N). The weighting network (21) has a plurality of weighting circuits (C11, . . . , C... | 10/09/2007 |
| 7089174 | Modelling device behaviour using a first model, a second model and stored valid behaviour A first model (10), such as a architectural level model or an instruction set simulator model makes calls to a second model (12), such as a pipeline simulator for a data processing device returning cycle count or energy consumption values. The calls to... | 08/08/2006 |
| 7089219 | Information processing apparatus and method, and recording medium An information processing apparatus includes a first recurrent neural network (RNN) for performing processing which corresponds to a time-series and a second RNN for processing another correlated time-series. The difference between a context set output by the first ... | 08/08/2006 |
| 7082421 | Information processing apparatus and method, and recording medium An information processing apparatus includes a first recurrent neural network (RNN) for performing processing which corresponds to a time-series and a second RNN for processing another correlated time-series. The difference between a context set output by the first ... | 07/25/2006 |
| 7072875 | Information processing apparatus and method, and recording medium An information processing apparatus includes a first recurrent neural network (RNN) for performing processing which corresponds to a time-series and a second RNN for processing another correlated time-series. The difference between a context set output by the first ... | 07/04/2006 |
| 7028017 | Temporal summation device utilizing nanotechnology A temporal summation device can be composed of one or more nanoconnections having an input and an output thereof, wherein an input signal provided to the input causes one or more of the nanoconnection to experience an increase in connection strength thereof over tim... | 04/11/2006 |
| 6963862 | Method and system for training a recurrent network A method for training a recurrent network represented by x(k+1)=f(W x(k)), where W is a weight matrix, x is the output of the network, and K is a time index includes (a) determining the weight matrix at a first time increment, (b) incrementing the time increment ass... | 11/08/2005 |
| 6925361 | Distributed energy neural network integration system A system that couples distributed power generators together as a collective unit for the purposes of selling or purchasing energy from the electrical power grid. The apparatus includes a charge/discharge controller and an adaptive controller. The charge/discharge co... | 08/02/2005 |
| 6920794 | Method and apparatus for rotary machine vibration control A vibration control system for a rotary machine having a rotor, includes a sensor disposed within the rotary machine for sensing vibration of the rotor, a vibration damping device disposed within the rotary machine for imparting a reaction force to the rotor, and a ... | 07/26/2005 |
| 6915283 | Information processing apparatus and method, and recording medium An information processing apparatus includes a first recurrent neural network (RNN) for performing processing which corresponds to a time-series and a second RNN for processing another correlated time-series. The difference between a context set output by the first ... | 07/05/2005 |
| 6898582 | Method and apparatus for extracting low SNR transient signals from noise A method and apparatus for processing a composite signal generated by a transient signal generation mechanism to extract a repetitive low SNR transient signal, such as an evoked potential (EP) appearing in an electroencephalogram (EEG) generated in response to senso... | 05/24/2005 |
| 6832214 | Method, system, and program for converting code to executable code using neural networks implemented in a software program Disclosed is a system, method, and program for generating a compiler to map a code set to object code capable of being executed on an operating system platform. At least one neural network is trained to convert the code set to object code. The at least one trained n... | 12/14/2004 |
| 6826550 | Method, system, and program for converting application program code to executable code using neural networks based on characteristics of the inputs Provided is a compiler to map application program code to object code capable of being executed on an operating system platform. A first neural network module is trained to generate characteristic output based on input information describing attributes of the applic... | 11/30/2004 |
| 6799171 | Applicator and method for combating pests, especially cockroaches A neural network system including a plurality of tiers of interconnected computing elements. The plurality of tiers includes an input tier whereto a sequence of input speech vectors is applied at a first rate. Two of the plurality of tiers are interconnected through... | 09/28/2004 |
| 6792413 | Data processing apparatus and method, recording medium, and program This invention provides a data processing apparatus which can store and recall more complicated time-series data than those processed in related art technologies. In the data processing apparatus, a recurrent neural network (RNN) of higher layer generates long-perio... | 09/14/2004 |
| 6751601 | Method and a system for solving dynamic problems using the dynamical system architecture The invention consists of a learning system (108) based on the Dynamical System Architecture (DSA). Every implementation of the DSA is composed of a dynamic system (112) and a static system (116). The dynamic system (112) generates an int... | 06/15/2004 |
| 6735580 | Artificial neural network based universal time series A neural network based universal time series prediction system for financial securities includes a pipelined recurrent ANN architecutre having a plurality of identical modules to first adjust internal weights and biases in response to a first training set representi... | 05/11/2004 |
| 6728691 | System and method for training and using interconnected computation elements to determine a dynamic response on which a dynamic process is based Computation elements are connected to one another with a first subsystem having a first input computation element, to which time series values, which each describe one state of a system in a first state space at a time, can be supplied. The first input computation e... | 04/27/2004 |
| 6708160 | Object nets A method, system and computer program product for implementing at least one of a learning-based diagnostics system and a control system (e.g., using a neural network). By using ObjectNets to model general object types, it is possible to design a control system that ... | 03/16/2004 |
| 6601054 | Active acoustic and structural vibration control without online controller adjustment and path modeling Active vibration control (AVC) systems without online path modeling and controller adjustment are provided that are able to adapt to an uncertain operating environment. The controller (250, 280, 315, 252, 282, 317, 254, 319) of such an AVC system is an ad... | 07/29/2003 |
| 6601051 | Neural systems with range reducers and/or extenders A neural system is disclosed for processing an exogenous input process to produce a good outward output process with respect to a performance criterion, even if the range of one or both of these processes is necessarily large and/or keeps necessarily expa... | 07/29/2003 |
| 6463424 | Association unit, association apparatus and method for the same There is provided a basic association unit for creating an information processing apparatus capable of performing information processing like information processing that actually occurs in central nerve systems of animals including human beings. The assoc... | 10/08/2002 |
| 6434541 | Automotive engine misfire detection system including a bit-serial based recurrent neuroprocessor An engine diagnostic system includes a bit-serial based recurrent neuroprocessor for processing data from an internal combustion engine in order to diagnose misfires in real-time and reduces the number of neurons required to perform the task by time multi... | 08/13/2002 |
| 6356884 | Device system for the autonomous generation of useful information An artificial neural network-based system and method for determining desired concepts and relationships within a predefined field of endeavor, including a neural network portion, which neural network portion includes an artificial neural network that has ... | 03/12/2002 |
| 6199057 | Bit-serial neuroprocessor architecture A neuroprocessor architecture employs a combination of bit-serial and serial-parallel techniques for implementing the neurons of the neuroprocessor. The neuroprocessor architecture includes a neural module containing a pool of neurons, a global controller... | 03/06/2001 |
| 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 |
| 6115701 | Neural network-based target seeking system A system and process for readily determining, for a specified knowledge domain in a given field of endeavor, perturbations applicable to an artificial neural network embodying such a specified knowledge domain that will produce a desired output, comprisin... | 09/05/2000 |
| 6058206 | Pattern recognizer with independent feature learning A pattern recognition device having modifiable feature detectors (28) which respond to a transduced input signal (26) and communicate a feature activity signal (30) to allow classification and an appropriate output action (70). A memory (40) stores a set ... | 05/02/2000 |
| 6018727 | Device for the autonomous generation of useful information A device for generating useful information employing a first neural network trained to produce input-output maps within a predetermined initial knowledge domain, an apparatus for subjecting the neural network to perturbations which may produce changes in ... | 01/25/2000 |
| 5963929 | Recursive neural filters A recursive neurofilter comprising a recursive neural network (NN) is disclosed for processing an information process to estimate a signal process with respect to an estimation error criterion. The information process either consists of a measurement proc... | 10/05/1999 |
| 5943659 | Deterministic encoding of fuzzy finite state automata in continuous recurrent neural networks Based on the encoding of deterministic finite-state automata (DFA) in discrete-time, second-order recurrent neural networks, an algorithm constructs an augmented recurrent neural network that encodes a FFA and recognizes a given fuzzy regular language wit... | 08/24/1999 |
| 5787425 | Object-oriented data mining framework mechanism An object oriented framework for data mining operates upon a selected data source and produces a result file. Certain core functions are performed by the framework, which interact with the extensible function. This separation of core and extensible functi... | 07/28/1998 |
| 5761386 | Method and apparatus for foreign exchange rate time series prediction and classification A method and apparatus for the prediction of time series data, specifically, the prediction of a foreign currency exchange rate. The method disclosed transforms the time series data into a difference of a series, compresses the transformed data using a lo... | 06/02/1998 |
| 5748848 | Learning method for a neural network In a learning method for training a recurrent neural network having a number of inputs and a number of outputs with at least one output being connected via a return line to an input, the return line is separated during training of the neural network, ther... | 05/05/1998 |