59 Result(s)
within
English
Artificial Intelligence
Computational Intelligence
Zhigang **
Engineering
-
Article
Open AccessAttention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification
Recurrent neural network (RNN)is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable per...
-
Article
Deep learning based smart radar vision system for object recognition
The capability of manipulating objects based on vision system are essential to robotic applications. For a vision system, high accuracy and robustness is vital. However, due to external environment and interfe...
-
Living Reference Work Entry In depth
Video Mosaicing
-
Chapter and Conference Paper
The Construction of Distance Education Personalized Learning Platform Based on Educational Data Mining
With the rapid development of Internet technology, the online learning environment is centered on learners and no longer limited by time and space, making the demand for online learning increasingly. However, ...
-
Chapter and Conference Paper
Deployment of NRF in the Docker and Kubernetes - Based NFV Platform
Network Function Virtualization (NFV) which is one of the core technologies plays an important role in reality. NFV permits using Virtual Network Functions (VNF) as software components on top of a virtualizati...
-
Chapter and Conference Paper
Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of **njiang, China Based on an Algorithm of Fuzzy Neutral Network
The research aims to improve water shortage in irrigation of cotton fields and reduce salinization damages in irrigation areas of Tarim River (in the south of **njiang Uygur Autonomous Region, China). For this...
-
Chapter and Conference Paper
Structural Health Monitoring Based on BP Network and Magnetic Memory
Although many magnetic memory testing devices developed in China can diagnose the surface or near surface damage of metal components, there is still a certain gap from the non-contact detection technology of R...
-
Chapter and Conference Paper
Research on Regression Model Based on Uncertain System
The emphasis in this paper is mainly on regression model based on uncertain system. Expert’s experimental data and Delphi method for estimating empirical uncertainty distributions are introduced. By collecting...
-
Chapter and Conference Paper
Design of Intelligent Water Purification Control System for Small Waterworks Based on LSTM
This paper studies the application of intelligent drug control automatic water purification in tap water supply in remote areas. On the basis of LSTM technology, the solutions of control system, human-computer...
-
Article
Open AccessMulti-objective redundancy hardening with optimal task map** for independent tasks on multi-cores
The rate of transient faults has increased significantly as the technology scales up. The tolerance of transient faults has become an important issue in the system design. Dual modular redundancy (DMR) and tri...
-
Article
A novel hybrid multi-objective bacterial colony chemotaxis algorithm
In this article, a novel hybrid multi-objective bacterial colony chemotaxis (HMOBCC) algorithm is proposed to solve multi-objective optimization problems. A mechanism of particle swarm optimization is introduc...
-
Article
An efficient data packet iteration and transmission algorithm in opportunistic social networks
Effective data transmission is a key technology in researching opportunistic networks. Increased data packet transmission among nodes can easily cause the death of nodes, especially in social networks environm...
-
Article
Quantum-behaved particle swarm optimization with generalized space transformation search
Nature-inspired algorithms have been proved to be very powerful methods for complex numerical optimization problems. Quantum-behaved particle swarm optimization (QPSO) is a typical member of nature-inspired al...
-
Article
Observer-Based Adaptive Fuzzy Tracking Control for a Class of Strict-Feedback Systems with Event-Triggered Strategy and Tan-type Barrier Lyapunov Function
In this paper, an observer-based adaptive fuzzy tracking control is considered for a class of strict-feedback nonlinear systems. The nonlinear functions and unmeasured states in the system are estimated by mea...
-
Chapter and Conference Paper
Research and Application of Clustering Algorithm in Battlefield Scheduling Genetic Optimization
Combat mission system is an organic combination of scheduling command system and collaborative control system. The integrity and reliability of the system not only depend on the optimal control algorithm used ...
-
Chapter and Conference Paper
Rolling Bearing Fault Diagnosis Method Based on SSA-ELM
In the motor and its control system fault diagnosis, the rolling bearings’ fault diagnosis is particularly important. In its fault diagnosis, the main method is to classify and recognize faults by the classifi...
-
Chapter and Conference Paper
Optimization Model of Emergency Ship** Route Based on Uncertainty Theory
Based on the theory of uncertain programming, in this paper, we establish an uncertain programming model for the emergency ship** route transportation. Considering the confidence level of the constraint func...
-
Chapter and Conference Paper
Uncertain Programming Model for Multiple Distribution Centers
Vehicle scheduling problem has important theoretical and practical significance for the development of applied mathematics. In recent years, many scholars have applied the uncertainty theory to the vehicle sch...
-
Chapter and Conference Paper
Dam** Effect of a Controlled Nonlinear Meso-Scale Beam Under Periodic Excitation
Amplitude frequency characteristics of a controlled nonlinear meso-scale beam are studied. Harmonic balance solution method including general analytical expression and updated cycle iteration procedure is deve...
-
Chapter and Conference Paper
A General Method for Attitude Estimation of Non-cooperative Target Based on Stereo Vision
Space debris are non-cooperate targets, which have serious impact on space safety. The space robot has to acquire the attitude knowledge of these target before proximity and capture operation during removal of...
