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Titlebook: Artificial Intelligence and Computational Intelligence; Second International Hepu Deng,Duoqian Miao,Fu Lee Wang Conference proceedings 2011

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樓主: Stubborn
11#
發(fā)表于 2025-3-23 10:27:13 | 只看該作者
The Bounded Rationality Model-Based Game Intelligent Decision-Making Methodg method through comparing with the other intelligent decision-making methods. The NPCs perception and decision-making process were respectively illustrated from two aspects-bounded rationality and satisfactory criterion, which are the core characteristics of the bounded rationality model. And the i
12#
發(fā)表于 2025-3-23 17:32:58 | 只看該作者
Fault Diagnosis of Turbine Unit Equipment Based on Data Fusion and RBF Neural Networkonomic operation. The turbine faults were determined by a variety of factors, which brought many difficulties to the fault diagnosis. In general condition, using the RBF neural network can make the turbine fault diagnosis right. However, in some time, as the judging value of the method for multiple
13#
發(fā)表于 2025-3-23 21:07:01 | 只看該作者
Design of Taxi Vehicle Monitoring System Based on GPS/GPRS combining GPS, GPRS and LCD was proposed. This device will show the superiority of C8051F040 microcontroller, which is high-speed, low-power, and has rich interface. Through the application of GPS, LCD, and the GPRS module which communicate with the monitor center, the device may realize functions
14#
發(fā)表于 2025-3-24 01:44:21 | 只看該作者
Initial-Boundary Value Existing Problem in Nonlinear Elastic Beam Equationsthe system solutions. So the rationality of simplifying an finite-dimensional system cannot be ensured, or even worse, the incorrect conclusions may be resulted in. In this paper, the Sobolev space is used as a tool to improve the existence and uniqueness for the weak solution of a class of nonlinea
15#
發(fā)表于 2025-3-24 05:30:25 | 只看該作者
16#
發(fā)表于 2025-3-24 07:46:20 | 只看該作者
17#
發(fā)表于 2025-3-24 11:15:25 | 只看該作者
18#
發(fā)表于 2025-3-24 18:43:34 | 只看該作者
19#
發(fā)表于 2025-3-24 19:40:24 | 只看該作者
Differential Evolution Algorithm with Fine Evaluation Strategy for Multi-dimensional Function Optimiuse different dimensions may interfere with each other. To deal with this intrinsic shortage, this paper presents a DE algorithm framework with fine evaluation strategy. In the process of search, solution is updated and evaluated dimension by dimension. In each dimension, the updated value will be a
20#
發(fā)表于 2025-3-25 02:19:17 | 只看該作者
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