| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 706001000 | FUZZY LOGIC HARDWARE | 24 |
| 20150039535 | GRASPING A BIAS OF INFORMATION FROM AN INTERNET MEDIUM FOR SUPPORTING A SURVEY - In one embodiment of the present invention, an apparatus may be used for supporting a survey based on information in an Internet medium. The apparatus comprises: a first acquisition hardware unit, wherein the first acquisition hardware unit acquires first evaluation information representing a degree of evaluation acquired by a survey of a real society pertaining to a prescribed target; a second acquisition hardware unit, wherein the second acquisition hardware unit acquires second evaluation information representing a degree of evaluation in the Internet medium pertaining to the prescribed target; and an estimator hardware unit, wherein the estimator hardware unit estimates a bias in information in the Internet medium based on a deviation of the second evaluation information from the first evaluation information. | 02-05-2015 |
| 20150112891 | INFORMATION PROCESSOR, INFORMATION PROCESSING METHOD, AND PROGRAM - The present technique relates to an information processor, an information processing method, and a program by which an objective variable value is efficiently and highly precisely estimated. | 04-23-2015 |
| 20160148110 | SPACE-LIKE COMPUTATIONS IN COMPUTING DEVICES - Computing systems and computer-implemented methods for specifying distributed computation. The systems and methods utilize computer-readable code causing a computer to engage in reversible, self-organizing hierarchical space-like computation that create information. At least one sensor and effector adapted to react to an environment external to the computer/computing system can create information based on an input from or “experience” with that environment. | 05-26-2016 |
| 706002000 | Fuzzy neural network | 11 |
| 20090006281 | COMPUTERIZED DATA EAUIDISTANT-MAPPING METHOD AND COMPUTER SYSTEM USING THE SAME - A computerized data equidistant-mapping method and a computer system using the same are provided. The computerized data equidistant-mapping method is used for mapping M sets of K-dimensional original data into a D-dimensional space in a manner of equidistance. The computerized data equidistant-mapping method includes the following steps. M sets of D-dimensional mapping data each corresponding to each original data respectively and sequentially are generated. An initial mapping data and an initial original data are chosen arbitrarily, wherein the initial mapping data corresponds to the initial original data. The mapping distance between each mapping data and the initial mapping data is computed. The original distance between each original data and the initial original data is computed. Each mapping data is amended according to each mapping distance and each original distance for enabling each mapping data and each original data to have equidistant-mapping relationship gradually. | 01-01-2009 |
| 20090055330 | METHOD FOR ANOMALY PREDICTION OF BATTERY PARASITIC LOAD - Anomaly prediction of battery parasitic load includes processing input data related to a state of charge for a battery and a durational factor utilizing a machine learning algorithm and generating a predicted start-up state of charge. Warnings are issued if the predicted start-up state of charge drops below a threshold level within an operational time. | 02-26-2009 |
| 20100138364 | Intelligent Control Toolkit - A neuro-fuzzy controller is provided. The neuro-fuzzy controller includes a predictor that receives inputs and makes prediction inputs. The prediction inputs are passed to a fuzzy cluster module that includes a neural network fuzzifing said prediction inputs and passing the result to an inference engine. The output of the inference engine is defuzzified and provided as an output of the controller. The fuzzifier and defuzzifier preferably represent a neural network employing a trigonometrical series. The inference engine preferably employs rules that are determined using genetic programming. | 06-03-2010 |
| 20110208675 | BRAIN IMAGING SYSTEM AND METHODS FOR DIRECT PROSTHESIS CONTROL - Methods and systems for controlling a prosthesis using a brain imager that images a localized portion of the brain are provided according to one embodiment of the invention. For example, the brain imager can provide motor cortex activation data using near infrared imaging techniques and EEG techniques among others. EEG and near infrared signals can be correlated with brain activity related to limbic control and may be provided to a neural network, for example, a fuzzy neural network that maps brain activity data to limbic control data. The limbic control data may then be used to control a prosthetic limb. Other embodiments of the invention include fiber optics that provide light to and receive light from the surface of the scalp through hair. | 08-25-2011 |
| 20120166363 | NEURAL NETWORK FAULT DETECTION SYSTEM AND ASSOCIATED METHODS - A fault detection system for use with a solar hot water system may include a data acquisition module which may, in turn, include a plurality of sensors. Input data may include a sensed condition. The system may also include a neural network to receive the input data which may be a multi-layer hierarchical adaptive resonance theory (ART) neural network. The neural network may perform an analysis on the input data to determine existence of a fault or a condition indicative of a potential fault. The fault and the condition indicative of the potential fault are prioritized according to the analysis performed by the neural network. A warning output relating to the fault and the condition indicative of the potential fault is generated responsive to the analysis, and is displayed on the user interface. | 06-28-2012 |
| 20120317058 | DESIGN OF COMPUTER BASED RISK AND SAFETY MANAGEMENT SYSTEM OF COMPLEX PRODUCTION AND MULTIFUNCTIONAL PROCESS FACILITIES-APPLICATION TO FPSO'S - A method for predicting risk and designing safety management systems of complex production and process systems which has been applied to an FPSO System operating in deep waters. The methods for the design were derived from the inclusion of a weight index in a fuzzy class belief variable in the risk model to assign the relative numerical value or importance a safety device or system has contain a risk hazards within the barrier. The weights index distributes the relative importance of risk events in series or parallel in several interactive risk and safety device systems. The fault tree, the FMECA and the Bow Tie now contains weights in fizzy belief class for implementing safety management programs critical to the process systems. The techniques uses the results of neural networks derived from fuzzy belief systems of weight index to implement the safety design systems thereby limiting use of experienced procedures and benchmarks. The weight index incorporate Safety Factors sets SFri {0, 0.1, 0.2 . . . 1}, and Markov Chain Network to allow the possibility of evaluating the impact of different risks or reliability of multifunctional systems in transient state process. The application of this technique and results of simulation to typical FPSO/Riser systems has been discussed in this invention. | 12-13-2012 |
| 20140156563 | LOGIC CIRCUITS WITH AND-NOT GATE FOR FAST FUZZY DECODERS - A logic decoder circuit capable of performing Boolean or fuzzy logic has one or more logic components configured to perform a logic function of an AND-NOT gate, each AND-NOT gate comprising a circuit that performs a conjunction of an excitatory input X and an inhibitory input Y to obtain an output X-AND-NOT-Y substantially linearly for given ranges for X and Y. Certain preferred designs are provided for an X-AND-NOT-Y logic gate and a family of fast fuzzy decoders composed of such gates. | 06-05-2014 |
| 20150058262 | System and Method for Automatic Local Grid Refinement in Reservoir Simulation Systems - A system and method of automatic local grid refinements in reservoir simulation systems is described. In one aspect of the disclosure, a method is directed to a computer-implemented method of modeling a formation. The method includes applying a coarse grid to a geologic formation of interest, the coarse grid having a plurality of coarse grid blocks and identifying a structure of interest disposed in the formation. Further, the method includes determining a fine grid zone around the structure based upon a time period for flow simulation of the geologic formation and a geologic characteristic of the geologic formation in a local region adjacent the structure and applying a fine grid to the coarse grid blocks encompassed by the fine grid zone. | 02-26-2015 |
| 20150339587 | ADAPTIVE FUZZY RULE CONTROLLING SYSTEM FOR SOFTWARE DEFINED STORAGE SYSTEM FOR CONTROLLING PERFORMANCE PARAMETER - An adaptive fuzzy rule controlling system for a software defined storage (SDS) system to control performance parameters in a storage node is disclosed. The system includes: a traffic monitoring module, for acquiring observed values of performance parameters in the storage node; an adaptive neural fuzzy inference module, for learning a dynamic relationship between configurations of a plurality of storage devices in the storage node and the performance parameters during a period of time, and outputting fuzzy rules which is built according to the dynamic relationship; a traffic forecasting module, for providing forecasted values of the performance parameters in a particular point in time in the future; and a fuzzy rule control module, for arranging the configuration of the storage devices in the storage node in the particular point in time in the future according to the fuzzy rules and the forecasted values. | 11-26-2015 |
| 20160071004 | METHOD AND SYSTEM FOR PREDICTIVE MAINTENANCE OF CONTROL VALVES - The embodiments herein provide a method and system for performing predictive maintenance of a control valve in an industrial plant. The method comprises monitoring a plurality of parameters using a plurality of sensors, and detecting one or more faults in the control valve using a decision making center. The plurality of the parameters are defined by DAMADICS system. The decision making module utilizes one or more neuro-fuzzy networks for detecting one or more faults in the control valves. The one or more neuro-fuzzy networks simulates each fault with a plurality of strengths. The decision making center detects the one or more faults by comparing outputs of simulated faults, and the actual output values provided by the plurality of sensors. | 03-10-2016 |
| 20220138533 | COMPUTER-IMPLEMENTED METHOD FOR DETERMINING CRITICALITY VALUES OF A TECHNICAL SYSTEM - A computer-implemented method for determining criticality values of a technical system. The method includes: specifying a reliability of the technical system that is to be satisfied; providing a fuzzy fault tree for the technical system, the fuzzy fault tree comprising a fuzzy top event and multiple fuzzy basic events and logical programmable fuzzy AND/OR operators; transforming the fuzzy fault tree into a flexible neural network comprising a tree structure; determining an optimized flexible neural network by carrying out a learning method for optimizing the flexible neural network, the optimized flexible neural network achieving the reliability of the technical system that is to be satisfied; deriving criticality values of the fuzzy basic events from the optimized flexible neural network. | 05-05-2022 |
| 706003000 | Analog fuzzy computer (e.g., controller) | 4 |
| 20080222056 | CONTROL METHOD COMBINING FUZZY LOGIC CONTROL WITH SLIDING MODE CONTROL FOR IDEAL DYNAMIC RESPONSES - The invention provides a novel control method combining fuzzy logic control with gain auto-tuning sliding mode control. A control error signal e(t) from the detection mechanism and an error change signal ce(t) are combined together as a sliding variable s(t)=ce(t)+λe(t) and used as the fuzzy input control variable. Using the control method, 2D fuzzy control rule is simplified into 1D fuzzy control rule through the sliding variable definition for enhancing the efficiency of computation and saving computation resources. Accordingly, both the quick transient response and steady state precision positioning can be achieved. The present method can overcome the disadvantages of current controller, which can not reach the desired transient and steady state responses simultaneously. | 09-11-2008 |
| 20090192953 | Load Fuzzy Modeling Device And Method For Power System - A load fuzzy modeling device for the power system based on the causality diagram, the composite cloud generator and the improved T-S fuzzy model, comprising: a hardware device, including: the sensors, a signal conditioning and filter module, an A/D conversion module, a causality conversion module, a DSP module, a memory module, a display and keyboard module connected with the DSP module, respectively and a communication module connected with the PC. The voltage and the current are respectively acquired from the system through a voltage transformer and a current transformer, and then are transmitted into the filter circuit for filtering, thus are amplified through a amplifier LM258P as the voltage within the range of −5V ˜+5V so as to input into the A/D conversion modules for sampling; the digital signal is simply processed by the causality conversion module according to certain analysis algorithm principle, and the processed signal is transmitted into the DSP to process, the final results thus displayed on the LCD screen and transmitted into the PC through the commutation module. | 07-30-2009 |
| 20090265287 | Adaptive Programmable Template Matching System - This invention pertains to adaptive programmable template matching systems. One or more templates are stored, either directly by a user, or by an unsupervised programming method, onto programmable memories, and in one mode of operation, the distance between a signal and the template is computed using a distance estimation circuit. The output of the distance estimator provides a metric for the proximity of the signal to the template, and an adaptive or user-defined threshold may be set for identifying matches. Various applications for this invention are disclosed, including implantable neural spike sorting chips, template matching image sensors, and template matching bio-sensors, for example DNA or antibody sensing. | 10-22-2009 |
| 20100030711 | Method And Apparatus For Evolving Overlays To Operate An Extended Analog Computer As A Classifier Or A Controller - A method is used to configure an extended analog computer for use as an application controller. The method includes selecting input pins from among a plurality of pins in a continuous sheet processor, selecting an arrangement of intermediate and output pins from among the remaining pins in the plurality of pins in the continuous sheet processor, applying a pattern data set to the input pins, using an evolutionary algorithm, coupling current sources and sinks to the intermediate and output pins, measuring an error between an output and its expected value, and continuing to select intermediate and output pin arrangements, apply pattern data sets, and measure errors until a configuration threshold is met. | 02-04-2010 |
| 706004000 | Digital fuzzy computer (e.g., controller) | 2 |
| 20120254074 | Contextually Transformed Learning Layer - A computer-implemented transformational protocol is applied to contextually transform an originating computer-implemented structure into a fuzzy network-based structure. The originating structure may be a hierarchy, for example. The fuzzy network-based structure is adaptively modified based on behavioral information, and recommendations delivered to users may be generated in accordance with the fuzzy network-based structure and inferences from a plurality of usage behaviors. The recommendations may be generated in accordance with a network neighborhood within the fuzzy network-based structure that is based, at least in part, on a navigational context within the originating structure. | 10-04-2012 |
| 20120254075 | Contextually Integrated Learning Layer - A computer-implemented transforming function contextually transforms multiple originating computer-implemented structures into a composite fuzzy network-based structure. The composite fuzzy network-based structure serves as a contextual basis for recommendations. The recommendations may be generated in accordance with inferences of preferences and interests based on usage behaviors. The recommendations may further be generated in accordance with a network neighborhood within the composite fuzzy network-based structure that is based, at least in part, on a navigational context within an originating structure and a user-established navigational neighborhood scope. | 10-04-2012 |
| 706005000 | Having function generator | 2 |
| 20100131433 | SYSTEM & METHOD - The present invention relates to a system and a method for automatically determining the relationship between a plurality of tasks comprising a process and then detecting any abnormalities in the execution of the process. | 05-27-2010 |
| 706006000 | By neural network | 1 |
| 20090216689 | SYSTEM AND METHOD FOR VARIANT STRING MATCHING - A method, computer program product, and system for variant string matching. A computer implemented method for variant string matching may comprise comparing with a computing device two unidentical strings in a training variant string pair. The two unidentical strings may represent the same item from training data, which may be stored in a memory. The two unidentical strings may be compared to determine if they include an identical substring pair, and a first unidentical substring pair. The computer implemented method may also determine if the first unidentical substring pair includes a first unidentical substring and a second unidentical substring. The computer implemented method may further determine if the first unidentical substring pair is in the training data. The first unidentical substring pair may be entered into the training data as a first variant string pair if it is not in the training data. | 08-27-2009 |
| 706008000 | Fuzzy inference processing | 1 |
| 20130046713 | FAILURE DETECTION AND LOCATING SYSTEM AND ENGINE CONTAINING THE SAME - A system for detecting and locating failures that occur in a complex system includes elements (CAP, MOD | 02-21-2013 |
| 706009000 | Defuzzification processing | 1 |
| 20160171365 | CONSUMER PREFERENCES FORECASTING AND TRENDS FINDING | 06-16-2016 |
