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| Number | Title | Issue Date |
| 7302345 | Method and apparatus for generating magnetic field map and method and apparatus for checking pose of mobile body using the magnetic field map Provided is a method of generating a magnetic field map including obtaining magnetic field information, the magnetic field information being information on a magnetic field affecting a mobile body, for each position of the mobile body, and building a magnetic field ... | 11/27/2007 |
| 7225173 | Apparatus and method for efficient adaptation of finite element meshes for numerical solutions of partial differential equations A device for calculating numerical solutions for partial differential equations in successive intervals using adaptive meshes, comprises: a neural network part for producing predictions of gradients at a following interval based on gradients available from previous ... | 05/29/2007 |
| 6996768 | Electric publishing system and method of operation generating web pages personalized to a user's optimum learning mode A personalized web page is generated by an Electronic Publishing System (EPS) based on predetermined profiles representative of the user's optimum mode of learning. The user's optimum mode of learning is based upon the Theory of Multiple Intelligences for seven (7) ... | 02/07/2006 |
| 6453206 | Neural network for predicting values in non-linear functional mappings A neural network for predicting values in non-linear functional mappings having a single hidden layer function generator (12) and an output layer (40). The single hidden layer function generator (12) is operable to receive one or more mapping inputs (x1) ... | 09/17/2002 |
| 6092017 | Parameter estimation apparatus An output parameter estimation apparatus for estimating an output parameter from an input data set that is composed of a plurality of input parameters and that is obtained whenever sampling time series input data. In this output parameter estimation appar... | 07/18/2000 |
| 5937398 | Topological map computation system and method in which the continuity of changes in input patterns is considered In a computation system for a topological map, a winner-unit-candidate-set calculation module calculates a winner unit candidate set which is the set of candidates for a winner unit corresponding to an input vector at a current input timing, on the topolo... | 08/10/1999 |
| 5475793 | Heuristic digital processor using non-linear transformation A heuristic processor incorporates a digital arithmetic unit arranged to compute the squared norm of each member of a training data set with respect to each member of a set of centers, and to transform the squared norms in accordance with a non-linear fun... | 12/12/1995 |
| 5434951 | Neural network system having minimum energy function value N neural networks having different set-values are provided, where N is an integer greater than 2. Each neural network has plurality of artificial neurons and processes information. An optimal output detecting circuit receives outputs of the N neural netwo... | 07/18/1995 |
| 5432889 | Vector neural networks A vector neural network (VNN) of interconnected neurons is provided in transition mappings of potential targets wherein the threshold (energy) of a single frame does not provide adequate information (energy) to declare a target position. The VNN enhances ... | 07/11/1995 |
| 5073867 | Digital neural network processing elements A preprocessing device is disclosed which performs a linear transformation or power series expansion transformation on the input signals to a neural network node. The outputs of the preprocessing device are combined as a product of these linear transforma... | 12/17/1991 |
| 5043913 | Neural network Input signals inputted in respective unit circuits forming a synapse array pass through variable connector elements to be integrated into one analog signal, which in turn is converted into a binary associated corresponding signal by an amplifier. Two cont... | 08/27/1991 |
| 4897811 | N-dimensional coulomb neural network which provides for cumulative learning of internal representations A learning algorithm for the N-dimensional Coulomb network is disclosed which is applicable to multi-layer networks. The central concept is to define a potential energy of a collection of memory sites. Then each memory site is an attractor of other memory... | 01/30/1990 |
