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USING NEURAL NETWORKS ALONGSIDE ANT COLONY OPTIMIZATION OF ALGORITHM
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聚类算法优化的RBF神经网络外文文献 十分难找的-Clustering algorithm optimization of RBF neural network is very difficult to find foreign-language literature of the
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文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。-This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the
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本文 通 过 对己有模型和锅炉运行现状的分析，尝试用BP神经网络的方法分析讨论锅炉效率在线计算和运行优化等问题。研究工作主要包括:基于BP神经网络进行煤的工业分析结果和元素分析结果之间的转换 考虑到煤在锅炉中燃烧时有固体未燃碳存在，给出了煤组成成分的实际结果的概念 详细讨论了过量空气系数的两种定义及特点，说明运行中用烟气分析结果确定过量空气系数时，对测得的湿烟气含氧量进行修正的必要性和方法:以反平衡法为基础给出了改进的锅炉效率在线计算模型 以效率在线计算为基础，尝试运用神经网络方法确定锅炉运行中
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This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data
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Grid computing could be the future computing paradigm for enterprise applications, one of its benefits being that it
can be used for executing large scale applications. Utility Management Systems execute very large numbers of
workflows with very
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针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。
该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整
定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-Fixed for the traditional PID
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matlab神经网络优化的遗传算法介绍
-matlab neural network optimization of the genetic algorithm
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BP网络模型处理信息的基本原理
BP神经网络模型.节点输出模型,作用函数模型,误差计算模型,自学习模型
缺陷分析及优化策略
实现神经网络的BP算法源码及注释-BP neural network model of the basic principles of processing information BP neural network model output node model, the role of function model, error calculation mo
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该程序是遗传算法优化BP神经网络函数极值寻优-The program is a genetic algorithm to optimize BP neural network function optimization extreme
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用遗传算法优化神经网络初始权重的方法-Heavy initial weights of neural network method using genetic algorithm optimization
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Modeling and Pareto optimization of gas cyclone separator performance using RBF
type artificial neural networks and genetic algorithms
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这是钱箱神经网络的一种极其少见的优化算法，非常实用，大家放心使用。-This is an extremely rare cashbox neural network optimization algorithm, is very practical, we ease of use.
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粒子群算法优化神经网络 采用粒子群算法优化神经网络权值的算法-Particle swarm optimization neural network
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BP神经网络算法实现及优化，较好的对传统算法进行了改进和优化。-BP neural network algorithm and optimization, better improvement on traditional algorithms and optimization.
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Design of a Nonlinear PID Neural Trajectory Tracking
Controller for Mobile Robot based on
Optimization Algorithm
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Multi-objective evolutionary optimization of
polynomial neural networks for fatigue life
modelling and prediction of unidirectional
carbon-fibre-reinforced plastics composites
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In this paper, we try to use feedback control system as a
new hybrid method to solve optimization problems. Because
controller can control plant for a goal, if the plant is replaced
by the cost function and the goal is changed to be solving
o
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Introducing the rank-weight method into the
basic ant colony optimization (ACO), we use the modified
ACO to optimize the weights and thresholds value of neural
networks (NN). And when the BPNN is being trained, this
method can solve the disad
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粒子群优化（PSO）是一种进化计算技术（进化计算）。
捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。
粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
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