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Recently, computer go has experienced great advance with the introduction of Monte-Carlo Tree Search (MCTS). Although MCTS programs are overall stronger than previous programs, their strength manifests mostly as the game advances. Strong human players applying established opening principles overtake current MCTS programs in the early moves of non-handicap 19×19 games. In this paper, the authors propose...
Relative growth is defined as the description of the growth relationship between biological and biological part (organ). The relative growth function is a function on variable of growth and non-time variables. In the paper, a system relative growth model which taken Betula costata as an example was constructed based on the projection pursuit regression (PPR) artificial neural network. The system model...
Semantic Web technology highly depends on the quality of ontology as it reduces or eliminates conceptual confusion and reuses knowledge. In order to enhance quality of ontology, there is one major problem with lexical representation of ontology. Current lexical representation is term which may have different meanings, i.e., the term is polysemous, this can result in frustrating misunderstanding and...
Stand age is the average age of trees in the stand. In this paper, the back propagation (BP) artificial neural network, the projection pursuit regression (PPR) artificial neural network and the multiple stepwise regression anatomic models were introduced to predict the nonlinear relation between the natural stand age and the stand factors. At the same time, the author contrasted the forecasting results...
Computer aided blend design is a complex and novel research field. In this paper, we define the concept, connotation, purpose, characteristics of computer aided blend design comprehensively, put forward a technologies framework about computer aided blend design, and deeply analyze the key technologies including correlation analysis, intelligent sensory evaluation and blend optimized design etc. In...
This paper presents a novel cellular neural network (CNN) templates learning approach based on Tabu search (TS) for detecting network intrusions. The TS method was applied to CNN with symmetric templates and was verified by simulations. Simulation experiments on intrusion detection have shown that the TS-based template learning algorithm exhibits superior performance in computation time to find the...
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