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Vehicular Impact Signaling Device
An apparatus for the deployment of a visible plume to alert other motorists that a proximate motor vehicle has been involved in a collision.
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| Number | Title | Issue Date |
| 6401082 | Autoassociative-heteroassociative neural network An efficient neural network computing technique capable of synthesizing two sets of output signal data from a single input signal data set. The method and device of the invention involves a unique integration of autoassociative and heteroassociative neura... | 06/04/2002 |
| 6397113 | Integrated control system An integrated control system for a machine such as an engine. The machine is composed of plurality of components such as a throttle valve and a fuel injector. The control system has a plurality of control modules for controlling the respective components ... | 05/28/2002 |
| 6366896 | Adaptive agent using neural network An adaptive agent including an artificial neural network having a plurality of input nodes for receiving input signals and a plurality of output nodes generating responses. A situation value unit receives a plurality of the responses and generating a situ... | 04/02/2002 |
| 6351740 | Method and system for training dynamic nonlinear adaptive filters which have embedded memory Described herein is a method and system for training nonlinear adaptive filters (or neural networks) which have embedded memory. Such memory can arise in a multi-layer finite impulse response (FIR) architecture, or an infinite impulse response (IIR) archi... | 02/26/2002 |
| 6347310 | Computer system and process for training of analytical models using large data sets A database often contains sparse, i.e., under-represented, conditions which might be not represented in a training data set for training an analytical model if the training data set is created by stratified sampling. Sparse conditions may be represented i... | 02/12/2002 |
| 6336109 | Method and apparatus for inducing rules from data classifiers A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as ... | 01/01/2002 |
| 6314414 | Method for training and/or testing a neural network with missing and/or incomplete data A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess... | 11/06/2001 |
| 6314412 | Evolutionary control of machine based on user's preference inferred from user's operation An evolutionary control for a subject such as an engine installed in a vehicle is conducted by the steps of: selecting coefficients, as genes, affecting the control characteristics of the control system; creating plural control units as chromosomes, each ... | 11/06/2001 |
| 6311175 | System and method for generating performance models of complex information technology systems A system and method for automatically creating performance models of complex information technology (IT) systems. System components and elements are subject to periodic monitoring associated with performance thresholds. A continuity analysis is performed ... | 10/30/2001 |
| 6311174 | Problem solving apparatus having learning function A problem solving unit for obtaining a solution in a symbol process in response to a given problem is provided with a learning control unit for making a neural network learn the solution output from the problem solving unit. The output in response to the ... | 10/30/2001 |
| 6311172 | Method for determination of weights, suitable for elimination, of a neural network using a computer The training phase of a neural network NN is stopped before an error function, which is to be minimized in the training phase, reaches a minimum (301). A first variable (EG) is defined using, for example, the optimal brain damage method or the optimal bra... | 10/30/2001 |
| 6304862 | Evolutionary controlling system An evolutionary control for a subject such as an engine installed in a vehicle is conducted by the steps of: selecting coefficients, as genes, affecting the control characteristics of the control system; creating plural control units as chromosomes, each ... | 10/16/2001 |
| 6298351 | Modifying an unreliable training set for supervised classification An unreliable training set is modified to provide for a reliable training set to be used in supervised classification. The training set is modified by determining which data of the set are incorrect and reconstructing those incorrect data. The reconstruct... | 10/02/2001 |
| 6289330 | Concurrent learning and performance information processing system The present invention provides a system for learning from and responding to regularly arriving information at once by quickly combining prior information with concurrent trial information to produce useful learned information. A parallel embodiment of the... | 09/11/2001 |
| 6289329 | System for converting neural network to rule-based expert system using multiple-valued logic representation of neurons in feedforward network A computer-implemented apparatus and method for generating a rule-based expert system from a trained neural network which is expressed as network data stored in a computer-readable medium. The rule-based expert system represents an interconnected network ... | 09/11/2001 |
| 6278986 | Integrated controlling system An integrated control for a machine such as an engine installed in a vehicle or vessel is conducted by the steps of: determining the characteristics of a user and/or using conditions; and changing characteristics of a control unit of a machine in accordan... | 08/21/2001 |
| 6269323 | Support vector method for function estimation A method for estimating a real function that describes a phenomenon occurring in a space of any dimensionality is disclosed. The function is estimated by taking a series of measurements of the phenomenon being described and using those measurements to con... | 07/31/2001 |
| 6266593 | Automotive occupancy sensor gray zone neural net conditioning process for airbag deployment systems An automotive occupancy sensing system and method for use in conjunction with airbag deployment systems, by which occupant nature, location and motion parameters within the vehicle interior are determined by ultrasound (US) and/or infrared sensors. (IS). ... | 07/24/2001 |
| 6266577 | System for dynamically reconfigure wireless robot network Methods and systems consistent with the invention provide a robot network that can optimally reconfigure the control logic on-board each robot of the network on a real-time basis. Each robot of the network performs an assigned task according to a control ... | 07/24/2001 |
| 6263325 | System, method, and program storage medium for executing a learning algorithm A system for executing a learning algorithm for solving an optimization problem of an evolutionary algorithm, etc. In this system, a learning algorithm executing device and a terminal device are interconnected by a network. In the terminal device, a chang... | 07/17/2001 |
| 6249781 | Method and apparatus for machine learning A method and apparatus is disclosed for machine learning of a pattern sequence which is derived from a plurality of inputs. The pattern sequence is predicted from learning rate parameters that are exponentially related to an incrementally calculated gain ... | 06/19/2001 |
| 6243489 | Method for a neural network for representing imaging functions In a method for a self-organizing neural network for representing multidimensional, nonlinear imaging functions onto simpler imaging functions use divider-membranes are employed for achieving an error free representation of the imaging function via the le... | 06/05/2001 |
| 6236908 | Virtual vehicle sensors based on neural networks trained using data generated by simulation models A virtual vehicle sensor includes a neural network which produces a sensor output based on a linear combination of non-linear physical signals generated by conventional physical sensors. Instead of determining an output directly, the neural network determ... | 05/22/2001 |
| 6226408 | Unsupervised identification of nonlinear data cluster in multidimensional data A system, method, and software product provide for unsupervised identification of complex, nonlinear subspaces in high dimensional data. The system includes a vector quantization module, a weighted topology representing graph module, and an encoding modul... | 05/01/2001 |
| 6216119 | Multi-kernel neural network concurrent learning, monitoring, and forecasting system A multi-kernel neural network computing architecture configured to learn correlations among feature values 34, 38 as the network monitors and imputes measured input values 30 and also predicts future output values 46. This computing architecture, referred... | 04/10/2001 |
| 6212509 | Visualization and self-organization of multidimensional data through equalized orthogonal mapping The subject system provides reduced-dimension mapping of pattern data. Mapping is applied through conventional single-hidden-layer feed-forward neural network with non-linear neurons. According to one aspect of the present invention, the system functions ... | 04/03/2001 |
| 6208983 | Method and apparatus for training and operating a neural network for detecting breast cancer A method and apparatus for training and operating a neural network using gated data. The neural network is a mixture of experts that performs "soft" partitioning of a network of experts. In a specific embodiment, the technique is used to detect malignancy... | 03/27/2001 |
| 6208981 | Circuit configuration for controlling a running-gear or drive system in a motor vehicle Motor vehicle sensor signals are evaluated by a fuzzy system, which generates control signals for a system device of the motor vehicle--for example an automatic transmission, active suspension, speed stabilization, power-steering assistance, or traction c... | 03/27/2001 |
| 6192353 | Multiresolutional classifier with training system and method An improved method and system for training and classifying using a low complexity and high accuracy multiresolutional polynomial classifier (412) is presented. A method of training an multiresolutional polynomial classifier which reduces the complexity of... | 02/20/2001 |
| 6169980 | Method for operating a neural network with missing and/or incomplete data A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess... | 01/02/2001 |
| 6163773 | Data storage system with trained predictive cache management engine In a data storage system, a cache is managed by a predictive cache management engine that evaluates cache contents and purges entries unlikely to receive sufficient future cache hits. The engine includes a single output back propagation neural network tha... | 12/19/2000 |
| 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 |
| 6151548 | Integrated controlling system An integrated control for a subject such as an engine installed in a vehicle or vessel is conducted by the steps of: determining the characteristics of a user and/or using conditions; and changing characteristics of a control system of a subject in accord... | 11/21/2000 |
| 6134537 | Visualization and self organization of multidimensional data through equalized orthogonal mapping The subject system provides reduced-dimension mapping of pattern data. Mapping is applied through conventional single-hidden-layer feed-forward neural network with non-linear neurons. According to one aspect of the present invention, the system functions ... | 10/17/2000 |
| 6134538 | Procedure for equalizing distorted data signals A neural network is provided for equalizing distorted data signals. The data signal to be equalized is coupled via time-delay elements to a group of networks for weighting. The output signals of the networks for weighting are coupled to the input terminal... | 10/17/2000 |
| 6128609 | Training a neural network using differential input A neural network is trained using a training neural network having the same topology as the original network but having a differential network output and accepting also differential network inputs. This new training method enables deeper neural networks t... | 10/03/2000 |
| 6119112 | Optimum cessation of training in neural networks A system and method for training a neural network that ceases training at or near the optimally trained point is presented. A neural network having an input layer, a hidden layer, and an output layer with each layer having one or more nodes is presented. ... | 09/12/2000 |
| 6119083 | Training process for the classification of a perceptual signal Training apparatus and method for establishing the network definition function of a trainable processing apparatus for analyzing a signal, includes providing a training sequence having a first signal and a distorted version of the first signal, receiving ... | 09/12/2000 |
| 6098060 | Process controlling method and device For controlling a process, manipulated variables for a plurality of actuators that act on the process are calculated in a control device from measured values for output quantities of the process. To optimize the control of the process by control device (7), th... | 08/01/2000 |
| 6081797 | Adaptive temporal correlation network The present invention comprises an adaptive temporal correlation network (ATCN) that correlates data patterns, or events, over time. More specifically, the ATCN comprises a plurality of time slices wherein each time slice represents one or more data strea... | 06/27/2000 |
