Description: 使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series Platform: |
Size: 1024 |
Author:陆谨 |
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Description: 针对反应槽容量大、滞后量大、变化因素多及温度控制要求比较高的特点，基于预测的模糊温度控制系统-Prediction based on the fuzzy temperature control system Platform: |
Size: 254976 |
Author:wang |
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Description: This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method. Platform: |
Size: 6144 |
Author:Mehran Ahmadlou |
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Description: 基于“当前”统计模型的模糊自适应跟踪算法
我存的一篇论文，拿来与大家共享-Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets.So it
may be difficult to meet all maneuvering conditions.The Fuzzy inference combined with Current statistical model is
proposed to cope with this problem.Given the error and change of error in the last prediction,fuzzy system on-line
determines the magnitude of maximum acceleration to adapt to different target maneuvers.Furthermore,in tracking problem
many measurement equations are non-linear.Unscented Kalman filter is applied instead of extended Kalman filter.The
Monte Carlo simulation results show that this method outperforms the conventional tracking algorithm based on current
statistical model in both tracking accuracy and convergence rate.
Platform: |
Size: 80896 |
Author:dailu |
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Description: Web access path prediction using knowledge discovered from web logs has become an active research area. Web logs provide updated information about the user’s access record to a web site, which contains useful patterns waiting to be discovered and used for improving the web site. In this study, a new approach to web access pattern prediction is proposed. The methodology is based on the case-based reasoning approach, and the main idea is to discover user access patterns by mining the fuzzy association rules from the historical web log data. In our approach, the time duration of each user session is also considered as one of the attributes of a web access case. A fuzzy index tree is used for fast matching of rules. Furthermore, the system s performance is enhanced using the information contained in the user profile through an adaptation process. Platform: |
Size: 279552 |
Author:asad2001 |
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Description: 变步长灰色预测的配浆浓度模糊控制研究Variable step with Grey Prediction Fuzzy Control of plasma concentrations-Variable step with Grey Prediction Fuzzy Control of plasma concentrations Platform: |
Size: 212992 |
Author:sheng77123 |
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Description: It is well known that the production of hot coils in uniform thickness depends on various process parameters such as the material, the
number of rolling stages, the reduction ratio of the thickness, the rolling speed, the front and back tensions, the friction between the material
and rolls, the rolling temperature, and the rolling force at each stage of rolling. In the present study, the effect of front and back tensions on
reducing the thickness deviations of hot rolled steel strips were investigated by developing a fuzzy control algorithm. In order to derive the
fuzzy control rules, rigid±viscoplastic ® nite element simulations were carried out using the material property determined from the
production data. Platform: |
Size: 427008 |
Author:Diamant |
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Description: MATLAB神经网络30个案例分析_案例24 模糊神经网络的预测算法-嘉陵江水质评价的源代码及数据-MATLAB Neural Network Analysis of 30 cases _ the fuzzy neural network prediction algorithm in Case 24- Jialing River water quality evaluation of the source code and data Platform: |
Size: 14336 |
Author:huxinxin |
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Description: 采用模糊神经网络anfis预测混沌时间序列的源程序。-The source program of Using fuzzy ANFIS neural network for predicting chaotic time series. Platform: |
Size: 571392 |
Author:胡玉霞 |
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Description: This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analysis. In this paper, we propose an indirect method to create an interval type-2 fuzzy logic system from a historical data, where Footprint of Uncertainties of fuzzy sets are extracted by implementation of an interval type-2 FCM algorithm and based on an upper and lower value for the level of fuzziness m in FCM. Finally, the proposed model is applied for prediction of carbon monoxide concentration in Tehran air pollution. It is shown that the proposed type-2 fuzzy logic system is superior in comparison to type-1 fuzzy logic systems in terms of two performance indices. Platform: |
Size: 1391616 |
Author:m |
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Description: BP神经网络模糊控制，达到预测的目的，集训练和预测于一身-Purpose, set BP neural network training and prediction fuzzy control, to achieve the predicted in-one Platform: |
Size: 1024 |
Author:祖春胜 |
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Search - prediction fuzzy