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Artificial intelligence, including neural networks, deep learning and machine learning, has made numerous progress and offered new opportunity for academic research and applications in many fields, especially for business activities and firm development. This paper summarizes different applications of artificial intelligence technologies in several domains of business administration. Finance, retail...
As Unmanned Aerial Vehicle (UAV) having been applied in more complex and adverse environments, the requirements of automatic techniques for obstacle avoidance are becoming more and more important. Reinforcement learning (RL) is a well-known technique in the domain of Machine Learning (ML), which interacts with the environment and learning the knowledge without the requirement of massive priori training...
The recognition and classification of the remote sensing image is a key technology in the application of remote sensing image, which has been one of the research hotspots. Extreme learning machine (EML), is a kind of machine learning method, which has advantages of fast learning speed and good generalization capability, and has been getting more and more attention from the researchers. Based on the...
Spectral unmixing (SU) is an emerging problem in the remote sensing image processing. Since both the endmember signatures and their abundances have nonnegative values, it is a natural choice to employ the attractive nonnegative matrix factorization (NMF) methods to solve this problem. Motivated by that the abundances are sparse, the NMF with local smoothness constraint (NMF-LSC) is proposed in this...
Aiming at the tracking control for the underactuated surface ship at open sea, an adaptive robust neural network method was proposed. At present, most researches would consider the underactuated characteristics and parameters uncertainties and environmental disturbance. The controller structure was designed by nonlinear algorithm, thus ensuring the tracking loop system robustness. Proposed adaptive...
This paper addresses the berthing control problem for an underactuated surface ships steering in restricted waters using nonlinear adaptive control method. For the berthing path along the given restricted waters, therefore, the following control law, which steers the ships along the path, and convergence, control law, which moors the ships to in its allotted place, are designed separately. Firstly,...
In this paper, an adaptive leader-following consensus protocol is proposed for second-order multi-agent systems with unknown nonlinear dynamics based on neural networks (NNs), and it is proved that if at least one agent in each connected component of the fixed interaction graph is connected to the leader, all agents can asymptotically track the leader. By estimating the tracking error in terms of...
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