The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
According to the remote monitoring requirements of smart grid construction, in this paper the condition recognition approach combining digital image processing with artificial neural networks is proposed for transmission lines. The digital image processing methods, including gray scale transformation, histogram modification, wavelet packet denoising and edge detection are used to process the images...
Dynamic Difficulty Adjustment (DDA) can adjust game difficulty level dynamically; so it generates a tailor-made experience for each gamer. If a game is too easy, the gamer will feel bored; if it is too hard, the gamer will become frustrated. DDA is a mechanism to overcome this dilemma and augment the entertainment of a game by dynamically adjusting the parameters, scenarios and behaviors in the game...
Dynamic Difficulty Adjustment (DDA) of Game AI aims at creating a satisfactory game experience by dynamically adjusting intelligence of game opponents. It can provide a level of challenge that is tailored to the player's personal ability. The Monte-Carlo Tree Search (MCTS) algorithm can be applied to generate intelligence of non-player characters (NPCs) in video games. And the performance of the NPCs...
An ANN-based dynamic FQFD method is proposed in order to solve the dynamic and fuzzy nature of QFD, that solves the problem of the dynamic nature by using neural network method, while the introduction of trapezoidal fuzzy number for its ambiguity. Firstly, a combined method with neural networks and FQFD is established, after learning and training, the method can quickly and effectively deliver customer...
As a new trend of game development, Artificial Intelligence (AI) used to be implemented by Finite State Machine (FSM) is being replaced by domain-knowledge-free automatic game design approaches. These training methods could achieve excellent performance as FSM and contribute to other improvements: Non Player Character's (NPC) behaviors appear wide differences based on player action, and for multiple...
Game AI controlled by UCT which achieves excellent performance in computer go can be applied to control non-player characters (NPCs) in video games. While, it is computation intensive algorithm, so applying it to on-line game is not suitable. But data collected from NPC controlled by UCT is able to be utilized to train neuro-controler. Furthermore, neuro-controler is an efficient algorithm due to...
As rapid development of economy and people's gradually great attention to energy environmental problems, more and more researchers have started researching the relationship between economy, energy and environment, we urgently need methods and models to solve the disagreement between them, and so 3E-based forecast and early-warning models began to emerge, and develop towards high-precision and comprehensive...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.