In the CBR system, the case base is becoming increasingly larger with the incremental learning which results in the decline of case retrieval efficiency and its weaker performance.
In this paper,a criteria for the minimal recalculation based on the rough sets theory is given,and an improved algorithm for incremental learning is present.
The parameter of traditional intelligent intrusion detection can not modify basis on studied model. ,which will lead low of adaptiablity. By using naive bayesian feature of incremental study.
When the case-based reasoning system learns new cases,the size of the case base will increase,and lead to the problem of more retrieving time and low efficiency in case retrieval.
(2)Considering the dynamic, sequence and timeliness of Olmpic Web pages, an Improved Rocchio Algrithm and an Adaptive_Classification which is based on incremental study are put forward.
The former, compared to the normal incrementl learning method, needs much less learning time and small training dataset under the same recognition precision.
At first we modify the logical rules according to the feedback information to improve the ability of identify of the new illegitimate content and to implement the increment learning.
This paper analyzed the theory of incremental learning of SVM (support vector machine) and pointed out it is a shortage that the support vector optimization is only considered in present research of SVM incremental learning.
According to the significance of keyword in training, a new incremental training method considering keyword adjusting was proposed, which eliminates the difference between incremental learning and batch learning through the keyword adjusting.
In this paper the stochastic dynamics of adaptive evolutionary search, as performed by the optimization algorithm Population-Based Incremental Learning, is analyzed with physicists' methods for stochastic processes.
Demonstrate the economic benefits of increasing learning recognition and improving the transferability of credentials.
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The container of knowledge the mind is expanded, increasing learning capacity, and broadening comprehension.
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The container of knowledge --the mindis expanded, increasing learning capacity and broadening comprehension.
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his paper introduces the MKR algorithm for Military Knowledge Acquisition system. MKR is an incremental and efficient algorithm for learning from examples. In MKR, this paper made a further improvement on IDSR algorithm, raising it's efficiency.This paper also developed an anti-disturbance mechanism in MKR, extending the field in which the algorithm can be applied.
This paper presents an AUV global path planning scheme using case based learning algorithm. Case based learning is relatively a new approach to path planning. Case based learning is learning and reasoning from past episodic information about the environment. A new and suitable solution is generated by retrieving and adapting and old one, which approximately matches the current situation. In this research, the algorithm includes these parts: establishment of path attribute extracted from its features, mat...
This paper presents an AUV global path planning scheme using case-based learning algorithm.Case-based learning is a relatively new approach to path planning.Case-based learning is learning and reasoning from past episodic information about the enviromment .Retrieving and adapting an old one ,which approximately matches the current situation,can generate a new and suitable solution.In this research,the algorithm includes these parts:establishment of path attribute extracted from its features,matching and ret...