Quotables
"What, sir, would you make a ship sail against the wind and currents by lighting a bonfire under her deck? I pray you, excuse me, I have not the time to listen to such nonsense."
Napoleon Bonaparte ; When told of the Robert Fulton steamboat
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| Number | Title | Issue Date |
| 5870728 | Learning procedure for multi-level neural network A reiterative learning procedure with training and test processes for a binary supervised neural network includes at least an error signal generator for weighting factor updating in the training process, which generates an error signal that is perturbed i... | 02/09/1999 |
| 5867813 | Method and apparatus for automatically and reproducibly rating the transmission quality of a speech transmission system A recorded voice test signal is transmitted from a transmitting end of a mobile communication system, and in a test unit at the receiving end a frame generator is synchronized with the received signal. Each frame of the signal is evaluated in computing ci... | 02/02/1999 |
| 5862304 | Method for predicting the future occurrence of clinically occult or non-existent medical conditions A method is presented for evaluating data to predict the future occurrence of a medical condition that is presently clinically occult or which has not yet occurred. Specifically, the method uses a neural network to analyze and interpret DNA flow cytometri... | 01/19/1999 |
| 5854590 | Method for generating a fault indication signal The invention concerns a method for generating a fault indication signal in the event of a fault in an electric power supply network being monitored through a neural network arrangement. In order to rapidly generate fault indication signals capable of dis... | 12/29/1998 |
| 5852815 | Neural network based prototyping system and method Constructing and simulating artificial neural networks and components thereof within a spreadsheet environment results in user friendly neural networks which do not require algorithmic based software in order to train or operate. Such neural networks can ... | 12/22/1998 |
| 5850470 | Neural network for locating and recognizing a deformable object A system for automatically detecting and recognizing the identity of a deformable object such as a human face, within an arbitrary image scene. The system comprises an object detector implemented as a probabilistic DBNN, for determining whether the object... | 12/15/1998 |
| 5850625 | Sensor fusion apparatus and method The invented apparatus fuses two or more sensor signals to generate a fused signal with an improved confidence of target existence and position. The invented apparatus includes gain, control and fusion units, and can also include an integration unit. The ... | 12/15/1998 |
| 5845271 | Non-algorithmically implemented artificial neural networks and components thereof Constructing and simulating artificial neural networks and components thereof within a spreadsheet environment results in user friendly neural networks which do not require algorithmic based software in order to train or operate. Such neural networks can ... | 12/01/1998 |
| 5845049 | Neural network system with N-gram term weighting method for molecular sequence classification and motif identification A method for rapid and sensitive protein family identification is disclosed. The new designs include an n-gram term weighting algorithm for extracting local motif patterns, an enhanced n-gram method for extracting residues of long-range correlation, and i... | 12/01/1998 |
| 5845051 | Learning method for multilayer perceptron neural network with N-bit data representation A multilayer perceptron neural network with N-bit (8-bit) data representation generates weighted sums in forward and backward calculations having 2N-bit data precision. During N-bit digital learning of a multilayer perceptron, the maximum value represente... | 12/01/1998 |
| 5845050 | Method and apparatus for processing information and a method and apparatus for executing a work instruction A first information transforming unit, capable of learning, transforms state information acquired from an object into a first intermediate representation. A second information transforming unit, capable of learning, transforms knowledge information derive... | 12/01/1998 |
| 5841895 | Method for learning local syntactic relationships for use in example-based information-extraction-pattern learning A method is provided for learning local syntactic relationships for use in an example-based information-extraction-pattern learning element of an automated information extraction system. The example-based learning element learns information extraction pat... | 11/24/1998 |
| 5835901 | Perceptive system including a neural network A real-time learning (RTL) neural network is capable of indicating when an input feature vector is novel with respect to feature vectors contained within its training data set, and is capable of learning to generate a correct response to a new data vector... | 11/10/1998 |
| 5835902 | 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. At the beginning of each tim... | 11/10/1998 |
| 5832466 | System and method for dynamic learning control in genetically enhanced back-propagation neural networks In the design and implementation of neural networks, training is determined by a series of architectural and parametric decisions. A method is disclosed that, using genetic algorithms, improves the training characteristics of a neural network. The method ... | 11/03/1998 |
| 5832465 | Method for building a self-learning evidential reasoning system The present invention discloses a method for building a self-learning evidential reasoning system from examples. In this invention a hierarchical model structure for the self-learning evidential reasoning system is defined. After the model structure has b... | 11/03/1998 |
| 5825645 | Two-level system identifier apparatus with optimization An apparatus for identifying the structure and estimating the parameters in the structure of a controlled system is described. The apparatus uses a structure identifier, in a preferred embodiment, employing a neural network, to match the relationship of t... | 10/20/1998 |
| 5826249 | Historical database training method for neural networks An on-line training neural network for process control system and method trains by retrieving training sets from the stream of process data. The neural network detects the availability of new training data, and constructs a training set by retrieving the ... | 10/20/1998 |
| 5822742 | Dynamically stable associative learning neural network system A dynamically stable associative learning neural system includes a plurality of neural network architectural units. A neural network architectural unit has as input both condition stimuli and unconditioned stimulus, an output neuron for accepting the inpu... | 10/13/1998 |
| 5819006 | 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... | 10/06/1998 |
| 5819247 | Apparatus and methods for machine learning hypotheses Apparatus and methods for machine learning the hypotheses used in the classifier component of pattern classification devices such as OCRs, other image analysis systems, and and text retrieval systems. The apparatus and methods employ machine learning tech... | 10/06/1998 |
| 5819246 | Non-linear model automatic generating method The present invention is intended to automatically select least required input items for a non-linear model and improve an efficiency of building up the non-linear model. For building up, for example, a neural network as the non-linear model, a group-by r... | 10/06/1998 |
| 5816247 | Monitoring an EEG An apparatus and method for EEG monitoring provides multi-dimensional classification of EEG samples, using a neural network having multiple outputs trained upon a training set of samples to define an n-dimensional space in which to classify the samples an... | 10/06/1998 |
| 5812993 | Digital hardware architecture for realizing neural network A digital neural network architecture including a forward cascade of layers of neurons, having one input channel and one output channel, for forward processing of data examples that include many data packets. Backward cascade of layers of neurons, having ... | 09/22/1998 |
| 5812992 | Method and system for training a neural network with adaptive weight updating and adaptive pruning in principal component space A signal processing system and method for accomplishing signal processing using a neural network that incorporates adaptive weight updating and adaptive pruning for tracking non-stationary signal is presented. The method updates the structural parameters ... | 09/22/1998 |
| 5809490 | Apparatus and method for selecting a working data set for model development The present invention provides a data selection apparatus which augments a set of training examples with the desired output data. The resulting augmented data set is normalized such that the augmented data values range between -1 and +1 and such that the ... | 09/15/1998 |
| 5806053 | Method for training a neural network with the non-deterministic behavior of a technical system In a method for tranining a neural network with the non-deterministic behavior of a technical system, weightings for the neurons of the neural network are set during the training using a cost function. The cost function evaluates a beneficial system behav... | 09/08/1998 |
| 5802507 | Method for constructing a neural device for classification of objects On the basis of a device without hidden neurons, arbitrary samples are taken from a set of learning samples so as to be presented as objects to be classified. Each time if the response is not correct, a hidden neuron (Hi) is introduced with a c... | 09/01/1998 |
| 5802506 | Adaptive autonomous agent with verbal learning The invention is an autonomous adaptive agent which can learn verbal as well as nonverbal behavior. The primary object of the system is to optimize a primary value function over time through continuously learning how to behave in an environment (which may... | 09/01/1998 |
| 5799133 | Training process A training apparatus for establishing the network definition function of a trainable processing apparatus, such as, for example, a neural network, is disclosed. The training apparatus analyzes a signal and includes means for providing a training sequence,... | 08/25/1998 |
| 5796923 | Methods and apparatus for estimating unknown quantities A method and apparatus for estimating unknown quantities provide plural sets of hierarchical perceptrons 1i in parallel to one another, construct a condition by learning in which a processing equivalent to a numerical formula corresponding to relationship... | 08/18/1998 |
| 5796921 | Mapping determination methods and data discrimination methods using the same A mapping determination method for obtaining mapping F from an N-dimensional metric vector space ΩN to an M-dimensional metric vector space ΩM has the following steps to get the optimal mapping quickly and positively. In the first ... | 08/18/1998 |
| 5796924 | Method and system for selecting pattern recognition training vectors A computer-based method and system selects a plurality of training vectors for a pattern recognition system by creating a plurality of clusters and then uniformly sampling the clusters. Each of the clusters is associated with a particular class and includ... | 08/18/1998 |
| 5796922 | Trainable, state-sampled, network controller A trainable, state-sampled, network controller (TSSNC) or state-sampled controller (SSC) requires little information regarding a plant (as with neural networks), but can use what information is available (as in classical controllers), and provides a linea... | 08/18/1998 |
| 5796863 | Method for training an adaptive statistical classifier to balance unigram prior factors A statistical classifier is trained in a manner to remove biasing due to unequal frequencies of unigram priors. The relative frequencies of all classes in a training set of sample patterns is determined. Training patterns are then selected from the set an... | 08/18/1998 |
| 5796925 | Neural digital processor utilizing an approximation of a non-linear activation function A neural digital processor (10) that includes circuitry (14) for applying a function ANLF to neural potentials. ANLF approximates a non-linear activation function NLF. The circuitry includes another neural processor which operates with another non-linear ... | 08/18/1998 |
| 5790832 | Method and apparatus for tracing any node of an emulation A method and apparatus for tracing any node in an emulator, including hidden nodes of a circuit design, includes maintaining a correspondence between physically observable nodes and hidden nodes of the circuit design being emulated. The correspondence ide... | 08/04/1998 |
| 5787408 | System and method for determining node functionality in artificial neural networks A system for unwrapping an artificial neural network (ANN) to determine the tilization and functionality of the nodes uses a network generator for generating an initial ANN architecture. Training and pruning processors operate to generate minimal ANN archi... | 07/28/1998 |
| 5785653 | System and method for predicting internal condition of live body A live body internal condition predicting and expressing system is capable of predicting the internal condition of a live body on the basis of an electromagnetic field distribution at significantly reduced period. The system comprises an electromagnetic f... | 07/28/1998 |
| 5787138 | Supervision of a neutron detector in a nuclear reactor A method of monitoring neutron flex detectors in a nuclear reactor in a neural network is provided. The network comprises an input layer which receives a number of input signals corresponding to values of a measured signal at different times and an output... | 07/28/1998 |
