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31. Fourthly . making use of Learning from examples based on information theory, machine learning algorithm and machine learning decision tree is realized.

32. And through compare with non-Evolutionary Map building method, the Evolutionary Reinforcement learning algorithm can increase search map efficiency and expedite convergence speed of global map.

33. In this paper, we develop a kernel based reinforcement learning algorithm, which solve the problems with continuous state spaces directly.

34. A kind of online learning algorithm of Neural Network Decoupler based on MIMO cross-correlation function was proposed on the frame of distributed decoupling system .

35. A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm(RL), using hierarchical control of dynamical large-scale systems theory.

36. A hybrid GA-BP learning algorithm is applied to a real condensation process. The computer aided optimum design is realized.

37. Then , a Phases Anomaly Detection Pattern Learning algorithm, PADPL, was put forward.

38. The simulation shows that using the fuzzy model based reinforcement functions in reinforcement learning algorithm can further speed up the convergence than using model-free reinforcement functions.

39. The reservoir density prediction technique is a non-linear seismic prediction approach based on improved hybrid intelligent learning algorithm.

40. The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.

41. The general similarity-based approximate reasoning method (GSBAR) needs a learning algorithm to find its functional parameters based on various cases.

42. Based on simulated annealing and reinforcement learning algorithm, a hybrid intelligent controller was proposed to ship steering.

43. In this paper Q reinforcement learning algorithm is adopted for mobile robot local path planning. It makes mobile robot resolve the problem of local path planning in a complex environment.

44. Observational Learning Algorithm ( OLA ) is an ensemble method based on social learning theory.

45. Q learning algorithm is the most popular reinforcement learning algorithm, but the algorithm exist some problems.

46. A reinforcement learning algorithm based on process reward and prioritized sweeping is presented as interference solving strategy.

47. A learning algorithm is presented to acquire and optimize rules part of speech tagging.

48. Using this feature, the structure and learning algorithm of hierarchical functional network were used to obtain numerical approximation in the multiple numerical integral .

49. The paper presents an unsupervised learning algorithm to learn answer pattern for answer extraction module of Chinese Question Answering(QA).

50. The realization method and learning algorithm for reinforcement learning system with continuous actions was presented.

50. Wish you can benefit from sentencedict.com and make progress everyday!

51. A new algorithm is presented for training of multilayer feed forward networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm.

52. Multi-Agent technology achieves the personalized in ITS, and reinforcement learning algorithm makes teaching strategies with the intelligent.

53. Applies feed forward neural network to the N QUEENs question, and sdves the local minimization question using a rapid learning algorithm with variable learning factors. Gives several research results.

54. This paper proposes CF - WFCM algorithm including feature weight learning algorithm and clustering algorithm.

55. In this paper, by analyzing the functional network, a new model and learning algorithm of the serial functional networks is proposed.

56. This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.