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USING NEURAL NETWORKS ALONGSIDE ANT COLONY OPTIMIZATION OF ALGORITHM
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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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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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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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文档描述使用BP神经网络算法进行鼠标手势识别，以及对算法的优化和实验结果，使用C#进行开发，基于Framework2.0-Document describes the use of BP neural network algorithm mouse gesture recognition, as well as the optimization algorithm and experimental results, the use of C# development, based on Fram
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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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粗糙集理论改进的RBF神经网络，适用性比较强，对RBF的优化有一定的作用-Rough set theory improved RBF neural network, strong applicability of optimization RBF has a certain role
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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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BP神经网络与遗传算法联合寻找函数的最小值-BP neural network optimization
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遗传算法、粒子群算法优化BP神经网络-非线性函数拟合-Genetic algorithm and particle swarm optimization for BP neural network nonlinear function fitting
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神经网络遗传算法函数极值寻优-非线性函数极值寻优-Neural network genetic algorithm function extremum optimization nonlinear function extremum optimization
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