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PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1
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机器人手臂神经网络智能控制建模，simulink仿真，源代码-Neural network intelligent control of robot arm model, simulink simulation, source code
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该PPT提供了无刷电机无位置控制的新方法...RBF神经网络控制...我们积极在这方面做实验，取得了一定的效果-The PPT provides a brushless motor without position control of the new method ... RBF neural network control ... We are actively conducting experiments in this regard, and achieved some results
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Neural network based ship heading control
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自适应控制器代码，可以用于设计神经网络的自适应控制其，用来控制对象，十分有用
的代码-Adaptive controller code can be used in the design of adaptive neural network control its used to control objects, very useful code
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Neural Network tool box nd motor control
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电子书包含了MATLAB在神经网络控制、模糊逻辑控制、预测控制方面的应用介绍，每一部分都包括基本控制理论的介绍和MATLAB对应工具箱的介绍和实现方式。 智能控制及其MATLAB实现-E-book contains the MATLAB neural network control, fuzzy logic control, predictive control applications introduction, each part including the introduction of
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a neural network - GA toolbo for intelligent control
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细胞神经网络(CNN)是一种和人类神经网络非常相似的并行计算模型，各个邻接节点间有不同的通信。在本程序中A模型是反馈矩阵，B是控制矩阵。-Cellular neural network (CNN) is very similar to the human neural network model of parallel computation, all adjacent nodes have different communication. A model of this process is
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matlab中关于模糊控制器的设计，编程，模糊神经网络控制，模糊PID控制等-matlab fuzzy controller on the design, programming, fuzzy neural network control, fuzzy PID control
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BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system
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Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
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This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in suc
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Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is us
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基于PID神经网络的三自由度飞行器模型控制研究-PID neural network based on three degrees of freedom control of aircraft model
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用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
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基于BP神经网络的一阶惯性纯滞后PID控制-BP neural network based on a PID control order inertia delay
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详细介绍了神经网络的自适应控制方法！对于初学者有很实用的价值，毕业设计_神经网络控制算法仿真-Details of the neural network adaptive control! For beginners there is a very practical value, graduation _ neural network control algorithm simulation
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该程序是由matlab编写的，可实现机器人的神经网络控制的仿真分析。-The program is written by matlab, simulation analysis enables the robot' s neural network control.
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以MATLAB程式語言撰寫之類神經網路控制源碼-neural network control source writing with MATLAB
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