A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
Based on fuzzy entropy rule and sum-squared error rule, a fuzzy learning method was presented. According to this method, BP neural network was used to model the performance of air-conditioning units.
基于模糊熵准则和误差平方和准则建立了模糊学习算法，基于该模糊学习算法，应用BP神经网络对柜式空调机组的性能进行了模拟。
Data mining is an intercrossed subject, involving many fields such as machine learning, model reorganization, induction and deduction, statistics, database and high performance calculation.
数据挖掘是一门交叉性学科，涉及机器学习、模式识别、归纳推理、统计学、数据库、高性能计算等多个领域。
Simulation results show that the optimal selection approach based on PSO is available and the PSO-SVR model has superior learning accuracy and generalization performance.
仿真结果表明：该PSO优化SVR参数方法可行、有效，由此得到的SVR模型具有更好的学习精度和推广能力。
Though choosing the experimental results as the learning sample, the performance predictive model of EDM micro-and-small holes is proposed, with the BP algorithm of artificial neural network.
采用人工神经网络的BP算法，以电火花微小孔加工工艺参数正交实验的结果作为神经网络的学习样本，建立电火花微小孔加工多目标工艺参数的预测模型。
Methods: Pharmacological model of amnesia in mice was produced by scopolamine. Learning and memory was evaluated using water maze performance of mice.
方法：以东莨菪碱制备小鼠记忆障碍模型，用水迷宫法测定小鼠的学习记忆功能。
Methods: Pharmacological model of amnesia in mice was produced by scopolamine. Learning and memory was evaluated using water maze performance of mice.
方法：以东莨菪碱制备小鼠记忆障碍模型，用水迷宫法测定小鼠的学习记忆功能。
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