43results about How to "Improve the ability of independent learning" patented technology

The invention relates to an on-line sequence limit learning machine method possessing an autonomous learning capability and belongs to the intelligent robot technology field. Nine portions are included and comprise an external state set, an external motion set, a rewarding signal, a value function, a state transition equation, a limit learning machine network hidden layer output set, an intermediate parameter transfer equation, a limit learning machine output set and a limit learning machine output weight transfer equation. In the on-line sequence limit learning machine method possessing the autonomous learning capability, an on-line sequence limit learning machine is taken as a framework and Q learning is combined and reinforced. The on-line sequence limit learning machine method possessing the autonomous learning capability is provided and a model is used in mobile robot path program research so that a robot realize autonomous learning navigation according to an external environment state and rewarding. An autonomous learning capability of the robot in an unknown environment is increased.

The invention discloses a teaching management system based on a cloud platform. The system comprises a base layer which is used for providing hardware support and data support for the integral teaching management system and providing resource service for a user paid according to demands and comprises an infrastructure layer and a basic service layer, a platform service layer used for providing platform service for the integral teaching management system, and an education application layer used for providing application management for the integral teaching management system, and a structural mode of the teaching management system is an MVC design mode based on SOA configuration.

The invention discloses a semiconductor intelligent illumination control experimental teaching platform, which comprises a host machine managing system (computer), an integrated console and a single lamp control box. In the platform, a modern digital control technology, a sensor technology, a network transmission technology and a computer software and hardware technology are combined, and a modularization design principle is adopted, so that a plug-and-play effect is realized for various modules through a customized terminal and a bread board connector. Due to the adoption of the semiconductor intelligent illumination control experimental teaching platform, teaching experiments such as design of a semiconductor intelligent controller, designs of intelligent monitoring systems of different scales and the like can be finished. The semiconductor intelligent illumination control experimental teaching platform has the advantages of complete functions, safety, reliability, convenience for operating, capability of fully bringing the subjective initiatives of students into full play, and good teaching effect.

The invention relates to an electric energy metering device abnormality detecting method based on a long and short term memory model. The method comprises the steps of (1) acquiring original collecteddata, (2) carrying out data preprocessing, (3) setting model hyperparameters, (4) training the model with a training sample, (5) testing the model with a test sample, and (6) output an electric energy metering device abnormality detecting result. According to the electric energy metering device abnormality detecting method based on the long and short term memory model, the deep learning theory isapplied to digital electric energy meter abnormality detection, and the change characteristics of each piece of collected data under various faults are automatically learned in case of a large amountof data and easy missing, at the same time, the method has good fault tolerance, and the improvement of the accuracy and timeliness of the abnormality detection of an electric energy metering deviceis helped.

The invention relates to a learning system and an assistant learning method thereof based on non-deletable user evaluation data management. The system comprises a system application manager, a user evaluation manager, an evaluation tool box, an evaluation data storage device, an evaluation certification manager, a learning optimization manager and the like, can effectively collect, store and utilize user evaluation opinions of learners for foreign language textbooks used, provides a learner-oriented (foreign language) learning system, help learners actively select foreign language learning textbooks fitting for basic conditions and individual characteristics of the learners according to the actual learning subjective needs, feeling and effect of the learners with the user evaluation opinions of the learners for foreign language textbooks used as the important basis of evaluation and selection of textbooks, and pertinently adjusts the learning content and learning process of the learners in learning foreign languages so as to improve the self learning ability and efficiency. Meanwhile, the invention can effectively analyze the applicability of foreign language to related user groups according to user evaluation information on learning effect of learners, and pertinently modifies and improves foreign language textbooks and continuously promotes the improvement in quality level of foreign language textbooks.

The invention discloses an entity class online management system based on the Internet. By establishing online classes corresponding to entity classes and extending lecture space and time of the entity classes, the individualized teaching is realized, and the teaching efficiency is improved; by establishing an Internet system service end, support demands are provided for teaching and managing interacting, resource sharing, lecture scenarizing, teaching precision, family and school interacting and after-school tutoring, online teaching interaction experience is optimized, the learning interestand autonomous learning ability of students are improved, teachers can better know learning situations of the students, and high-quality teaching is realized.

The invention discloses a method and a device for intelligently obtaining learning resources, a printer and a computer storage medium, and the method comprises the steps: obtaining a picture comprising a question at the printer; identifying content information in the picture to obtain required knowledge points; sending the knowledge points to a server, so that the server searches learning resources related to the knowledge points from a pre-established knowledge point database; and receiving the learning resources sent by the server, and printing the learning resources. According to the invention, the user can quickly obtain the learning resources corresponding to the knowledge points according to wrong questions, so that the user can consolidate the unclear knowledge points in the learning process according to the learning resources and perform deep learning.

The invention discloses a child study type television set which comprises a study function module. Study content related to study is pre-stored in the study function module. Work of the study function module is set in the mode that when the operation state of the television set meets the operation start condition of the study function module, the television set is automatically switched to be in a study mode, in order words, the study content pre-stored in the study function module is automatically played through the television set, the television set can not be switched to a playing channel of a traditional television program until the television set detects that an operation stop condition of the study function module is met, the television set is automatically switched to be in an original playing state of the television set, and the study function module stops working. Thus, the requirement of a child for watching TV is met, knowledge study is facilitated, and the problem that the child becomes addictive after watching the television program for a long time is solved.

The invention discloses an intelligent health monitoring self-repairing system and method for a fiber grating sensor network, belonging to the field of engineering structure health monitoring technology. Aiming at the reliability of an intelligent health monitoring system of a fiber grating sensor in a large-scale engineering structure, the functions of information acquisition, extraction, analysis, evaluation and the like of a conventional distributed fiber grating intelligent health monitoring system are transformed into intelligent agents that can sense the own bodies and the environments and can communicate and mutually cooperate with other agents by adopting multi-agent cooperation and decision-making techniques, failure sensors are subjected to functional compensation based on the fiber grating sensor which is survived near a damaged area through the mutual cooperation among the agents, and thus the whole intelligent health monitoring system can be restored to normal work without changing the fiber grating sensor network in a monitored object, the functional compensation for local failure of the fiber grating sensor network can be achieved, and finally, the intelligent evaluation of the health state of the monitored object can be achieved with higher accuracy and reliability.

The invention discloses an online education platform for training guidance. The online education platform comprises a task entering module, a concluding module, an uploading module, a user module, a display screen, a comparison module, a data analysis module, a controller, an information intercommunication module, a data processing module, a data distinguishing module and a storage module. According to the online education platform, the data analyzing modules receives score signals transmitted by the comparison module, starts analysis operations and respectively carries out comparison on acquired Zj and Y as well as acquired Hj and S so as to generate teaching signals, learning signals and problem solving signals, the teaching signals, and the learning signals and the problem solving signals are sequentially are sequentially transmitted to mobile phones of teachers, parents and students through the controller and the information intercommunication module, and the mistakes of the students in the learning process are guided in a targeted manner and are hierarchically answered in a targeted manner, so that the learning quality and effect of the students are improved.

The invention relates to a medicine self-service vending system and method based on face recognition. The system comprises a medicine vending machine, a plurality of collecting assemblies arranged onthe vending machine, a controller electrically connected with the collecting assemblies, and a database electrically connected with the controller. The system is characterized in that one side of themedicine selling machine is fixed to a wall, the vending machine is provided with screens besides the side attached to the wall, the screens can display medicine information and doctor guidance suggestions, and the screens are matched and can independently display the medicine information and the doctor guidance suggestions, wherein the acquisition assembly can acquire face information and analyzegender and age information of personnel, and the acquisition assembly acquires time information of viewing a screen by a drug purchaser in a fixed-eye manner and then inputs the information into a database for analysis; the screen can recommend matched amplified medicine information according to the eye-catching watching time of the medicine buyer acquired by the acquisition assembly; and the database can store case information of the medicine purchasing personnel.

The invention discloses an automatic car-following method and device, and belongs to the field of vehicle active safety. The automatic car-following method includes the steps that n strengthening signal values are obtained by equally dividing the car-following distance into n sections and determining strengthening signal values for sub-areas corresponding to all the sections of the distance, the car-following distance is a preset driving distance of a local car following a front car, the area corresponding to the car-following distance is a reliable area, and n is an integer larger than 2; n normalization values are obtained by carrying out normalization on the n strengthening signal values; whether the local car is in the reliable area or not is judged according to the n strengthening signal values, the n normalization values and the current driving position of the local car; when the local car is in the reliable area, the local car is controlled to finish the automatic car-following motion through a machine study method. The automatic car-following method resolves the problem of low reliability of automatic car-following, realizes the effect of improving the reliability of automatic car-following, and is used for automatic car-following.

The invention relates to a novel braking structure of an instructional car. The novel braking structure of the instructional car comprises a brake box, a reversing brake seat and a locking mechanism connected with a brake mechanism of a main cab of the instructional car; a telescopic mechanism is arranged inside the brake box; a processing unit of a radar sensing device on the instructional car controls the telescopic mechanism to stretch and contract; the telescopic end of the telescopic mechanism is connected with a steel wire rope; the telescopic mechanism stretches and contracts to drive the steel wire rope to stretch and contract synchronously; the externally stretching end of the steel wire rope penetrates through the reversing brake seat to be fixedly connected with the locking mechanism; and the position, between the brake box and the reversing brake seat, of the steel wire rope is sleeved with a protection sleeve. The novel braking structure of the instructional car is small, exquisite and simple in structure and convenient to install, and achieves intelligent mechanical operation, a coach does not need to sit on a co-driver seat all the time, the traditional structure that a brake device is arranged in the co-driver position is abandoned, the situation that the coach sits on the co-driver seat for a long time to cause fatigue teaching is avoided, potential safety hazards are eliminated, and the independent study capacity of trainees is improved.

The invention relates to a promotion network self-enhanced image voice deep learning model. According to the application, a promotion scheme and a neural network structure are fused to design a deep learning architecture which can realize autonomous learning of network parameters and modules and is compatible with linearity and nonlinearity, and the system stability is improved; linear and nonlinear promotion schemes are combined with a neural network classification model through loosening and compacting to construct a deep learning classification model, and the generalization ability is high; the convolution layer and the pooling layer are autonomously combined in the aspect of the network structure, a fully promoted network is realized, and grading processing has a better effect in classification and estimation of reasoning tasks; in the aspect of network operation, convolution operation and pooling operation are achieved through promotion, unification of linearity and nonlinearity is achieved, and the calculation complexity is low; in the network training process, hierarchical low entropy is adopted to accelerate network training, so that the network retains the learnability of convolution, a pooling layer becomes learnable, the model learning ability is strong, the error is smaller than that of the method in the prior art, and the accuracy and robustness of image speech recognition and classification are better.

The invention relates to an elevator medical information advertisement putting system and a method based on user behaviors. The elevator medical information advertisement putting system comprises a lift car, at least one collecting assembly, at least one putting assembly, a controller and a database, wherein the collecting assemblies and the putting assemblies are arranged on any inner wall of thelift car, the controller is electrically connected with the collecting assemblies and the putting assemblies, and the database is electrically connected with the controller. The collecting assembly and the throwing assembly are matched with the inner wall of the lift car through sliding ways. The collecting assembly and the throwing assembly can slide along the slide way. The acquisition assemblycan acquire face information and analyze sex and age information of passengers; the delivery assembly can deliver a corresponding advertisement according to the face information collected by the collection assembly; the acquisition assembly acquires time information of watching advertisements by passengers in a fixed-eye manner, and then inputs the information into the database for analysis and comparison. The database can store advertisements and advertisement preference information of passengers; and the controller is used for controlling information calling of the putting assembly, the collecting assembly and the database.

The invention relates to a work order creation unit for a work order classroom teaching cloud platform. The teaching cloud platform includes the work order classroom cloud business subsystem, a work order classroom cloud marketing subsystem and a work order classroom school-side business subsystem, the work order classroom cloud service subsystem comprises a service server and a service database server, the work order classroom cloud marketing subsystem comprises a marketing portal server, a platform management server and a marketing database server, and the a work order classroom school-sidebusiness subsystem comprises a college resource synchronization unit, a CACHE management unit and an Nginx proxy service unit, wherein the work order creation unit is arranged in the service server, and the work order used for the work order classroom teaching cloud platform comprises five parts of work order identification, work task book, learning resources, environment deployment and quality monitoring.

The invention relates to a scannable system and a scanning method thereof, which can be used for identifying different states including a static state, a working state and a post-working state and processing data so as to obtain relatively accurate data, and identifying different lesions in different states in combination with an established model. The system can continuously verify and optimize the model, can realize autonomous learning and updating, and improves the accuracy and reliability of lesion identification.