Segmentation is the most difficult problem in a handwritten character recognition system and often contributes major errors to its performance. To reach a balance of speed and accuracy, a filter distinguishing a conne...
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When using neural networks to train a large number of data for classification, there generally exists a learning complexity problem. In this paper, a new geometrical interpretation of McCulloch-Pitts (M-P) neural mode...
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computer software intellectual property right (IPR) protection has become an important issue of universal concern. This paper, based on a survey conducted in five Chinese universities reveals the importance of teachin...
ISBN:
(纸本)9781581130874
computer software intellectual property right (IPR) protection has become an important issue of universal concern. This paper, based on a survey conducted in five Chinese universities reveals the importance of teaching the subject of computer software IPR to computerscience students. The paper discusses the development of educational material that highlights the technical, cultural, legal and regulatory, and business factors related to computer software IPR. It also proposes an educational program for enhancing IPR protection, which can be incorporated into the undergraduate and graduate curricula of computerscience.
Real-time path planning is a key subject in the research of a Multi-robot system, such as in soccer robot system, as in such system there are several robots to coordinate to complete one task and its workspace is time...
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Real-time path planning is a key subject in the research of a Multi-robot system, such as in soccer robot system, as in such system there are several robots to coordinate to complete one task and its workspace is time-varying. There exist unpredictable changes in such workspace. These changes will make the robots path planning tremendously hard. This paper introduce the study on the real-time planning of a multi-robot system, such as soccer robots system. In such systems, as there exist multiple mobile robots, robots path planning is highly required of real-time and of high path planning quality. In this paper, the definitions of Active Obstacle and Dominating Robot are put forward. Genetic-planning and Fuzzy-correction are developed as our path planning techniques. The concept of Sector Vital Value is proposed for Genetic-planning and Fuzzy-correction. Block-Inserting strategy is employed to further improve the system's real-time performance in the workspace modelization. It takes only 2% of workspace modeling time required by Grid-modeling technique. After taking the proposed measures, the system's real-time performance is improved a lot. The initial simulation shows that our planning strategy can meet real-time demand.
The paper puts forward a quasidependency model for structural analysis of Chinese i baseNPs and a MDL-based algorithm for quasidependency-strength acquisition. The experiments show that the proposed model is more suit...
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This paper proposes an approach for speech recognition using recurrent neural networks(RNN) and corresponding training schema,in which RNN is trained as a digit *** order to reduce the training cost and improve the pe...
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This paper proposes an approach for speech recognition using recurrent neural networks(RNN) and corresponding training schema,in which RNN is trained as a digit *** order to reduce the training cost and improve the performance,several techniques had been tried in our *** weights of the net are trained by stages and the initial feedback values of RNN are trained along with the *** result shows that these methods improve the recognition accuracy by 10%.
Fuzzy entropy is the measure of fuzziness in a fuzzy *** paper proposes a kind of generalized fuzzy entropy which,may describe various kinds of fuzzy entropy,and discusses its guidance functions in the design of fuzzy...
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Fuzzy entropy is the measure of fuzziness in a fuzzy *** paper proposes a kind of generalized fuzzy entropy which,may describe various kinds of fuzzy entropy,and discusses its guidance functions in the design of fuzzy neural network classifiers.
This paper presents a new kind of knowledge processing model-generalized computing *** primitive element of generalized computing model is generalized computing *** generalized computing units consist of a generalized...
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This paper presents a new kind of knowledge processing model-generalized computing *** primitive element of generalized computing model is generalized computing *** generalized computing units consist of a generalized computing network, and several generalized computing networks consist of a generalized computing system to solve some practical problems.
This paper first proposes HOOD+, an extension of HOOD, which has more 00 features and supports a seamless development from the requirements analysis to the systems design. Then, a CASE tool supporting HOOD+ is also de...
In this short extended abstract, we give two notes on low-density subset sum algorithm. One is, by extending the variables range from {0, 1}to {-1, 0, 1} and allowing the weight be negative, to prove that almost all e...
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