artificial neural network in robotics ppt

Ngày tải lên: 28/04/2014, 10:10

... 1 Usin g Neural Networks in HYSYS Using Neural Networks in HYSYS â 2004 AspenTech. All Rights Reserved. Using Neural Networks in HYSYS.pdf 4 Usin g Neural Networks in HYSYS ... is included to check the quality of the Neural Network calculations. 9 Usin g Neural Networks in HYSYS Training the Neural Network The next step is to train the Neural Network using ... large errors. Neural Networks will not predict the effect of changes in variables not included in the training data. 12 Usin g Neural Networks in HYSYS Exercise Using the Parametric...

Ngày tải lên: 23/03/2014, 02:20

... considering uncertainties in modeling, sensing and control. The core of the proposed solution is a reinforcement learning al- gorithm for selecting the actions that achieve the goal in the minimum ... probability of insertion only reaches about 60% of success after the training process, whereas 80% of successful insertions were attained in the cube example. This is quite surprising, since initially ... in task planning, Journal of Intelligent and Robotic Systems 17 (1996) 283–308. [21] T. Kohonen, in: Self-Organizing Maps, Springer Series in Information Sciences, Springer, Berlin, 1995. [22]...

Ngày tải lên: 28/03/2014, 14:20

Ngày tải lên: 28/04/2014, 10:06

Ngày tải lên: 28/04/2014, 10:06

Ngày tải lên: 28/04/2014, 10:18

Ngày tải lên: 19/06/2014, 08:20

Ngày tải lên: 24/11/2014, 01:42

Ngày tải lên: 21/06/2014, 20:20

... for predicting proper strain rate involved three phases First, data collection phase involved gathering the data for use in training and testing the neural network. A large training data reduces ... of under-sampling the nonlinear function, but increases the training time. To improve training, preprocessing of the data to values between 0 and 1 was carried out before presenting the patterns ... squared error over all the training patterns was minimized. Experiment were carried out using a number of combinations of input parameters to determine the neural network model that gave the...

Ngày tải lên: 22/03/2013, 15:01

Ngày tải lên: 05/09/2013, 14:58

... signifying it is the winner to represent the current input feature vector. The remaining losing neurons will have their output remain at 0. Therefore, the self-organizing map is a neural network ... iterations begins while not_converged==1, % start a new epoch % Randomly select K training samples from the training set. [train,ptr,train0]=rsample(train0,K,Kr,ptr); % train is K by M+N z{1}=(train(:,1:M))’; ... Contents 1 IntroductiontoNeuralNetworksforSignalProcessingYuHenHuandJenq- NengHwang 2 SignalProcessingUsingtheMultilayerPerceptronMichaelT.Manry,Hema Chandrasekaran,andCheng-HsiungHsieh 3 RadialBasisFunctionsAndrewD.Back 4 AnIntroductiontoKernel-BasedLearningAlgorithmsKlaus-RobertMỹller, SebastianMika,GunnarRọtsch,KojiTsuda,andBernhardSchửlkopf 5 CommitteeMachinesVolkerTresp 6 DynamicNeuralNetworksandOptimalSignalProcessingJoseC.Principe 7 BlindSignalSeparationandBlindDeconvolutionScottC.Douglas 8 NeuralNetworksandPrincipalComponentAnalysisKonstantinosI. Diamantaras 9 ApplicationsofArticialNeuralNetworkstoTimeSeriesPredictionYuansong Liao,JohnMoody,andLizhongWu 10 ApplicationsofArticialNeuralNetworks(ANNs)toSpeechProcessingShigeru Katagiri 11 LearningandAdaptiveCharacterizationofVisualContentsinImageRetrieval SystemsPaisarnMuneesawang,Hau-SanWong,JoseLay,andLingGuan 12 ApplicationsofNeuralNetworkstoImageProcessingTỹlayAdali,YueWang, andHuaiLi 13 HierarchicalFuzzyNeuralNetworksforPatternClassicationJinshiuhTaur, Sun-YuanKung,andShang-HungLin â...

Ngày tải lên: 12/12/2013, 23:15

... application of neural networks in computer aided design, Artificial Intelligence in Engineering, 5(1), 9-22. Currie, K.R., 1992, An intelligent grouping algorithm for cellular manufacturing, Comp. Ind. ... promise, in general, for reducing complexity in logistics, and for streamlining and synergistic regrouping of many operations in the supply chain. This chapter provides a summary of neural network ... components for cellular manufacturing, keeping a concurrent engineering framework in mind. It utilizes two middle layers, as shown in Figure 4.4. The inputs for the network include design features of...

Ngày tải lên: 17/12/2013, 06:15

... leadscrew grinding process using neural networks, Computers in Industry, 23, 169, 1993. 86. Chen, J. S., Neural network- based modeling and error compensation of thermally-induced spindle errors, International ... the use of neural networks is still constrained to simulations on sequential computing machines. Training a large network using a sequential machine can be time-consuming. Fortunately, training usually ... types of neural networks included ART networks, Hopfield networks, and SOM neural networks. Weaknesses of neural networks for modeling and design of manufacturing systems result from neural networks...

Ngày tải lên: 17/12/2013, 06:15

... artificial intelligence (AI) technique that has the potential of improving the product quality, increasing the effect events in production, increasing autonomity and intelligence in manufacturing lines, ... of the network within the system. Various manufacturing processes including machining, arc welding, semiconductor, and hydroforming processes are considered for networks appli- cations. Finally, ... a neural network training procedure [Woo and Cho, 1998]. The neural network used is a multilayer perceptron and it adopts the error backpropagation algorithm. The input data used for training includes surface...

Ngày tải lên: 25/12/2013, 19:15

... 2/08 Original â 2008 ADC Telecommunications, Inc. All Rights Reserved www.adc.com ã +1-952-938-8080 ã 1-800-366-3891 Spec Sheet UltraWAVE GSM Network- In- A-Box ADC's GSM Network- In- A-Box ... office in Minneapolis. ADC Telecommunications, Inc. views its patent portfolio as an important corporate asset and vigorously enforces its patents. Products or features contained herein may ... GSM Network- In- A-Box (NIB) combines GSM MSC, Base Station Controller and Base Transceiver Station in a single box. It provides the smallest and lowest entry point into the GSM wireless space....

Ngày tải lên: 17/01/2014, 11:20

... the neural network. 15.2.2 Fuzzy Neural Network In this chapter, a new neural network with fuzzy inference is presented. Let X and Y be two sets in [0,1] with the training input ... processing methods in TCM. These methods have a good solution in the frequency domain but a very bad solution in the time domain, so that they lose some useful information during signal processing. ... monitoring features. 15.2 Fuzzy Neural Network 15.2.1 Combination of Fuzzy System and Neural Network Fuzzy system (FS) and neural networks (NN) are powerful tools for controlling the...

Ngày tải lên: 23/01/2014, 01:20

... every other neuron in a Hopfield Neural Network. A Hopfield Neural Network can be trained to recognize certain patterns. Training a Hopfield Neural Network involves performing some basic matrix ... particularly sure what final outcome is being sought. Neural networks are often employed in data mining do to the ability for neural networks to be trained. Neural networks can also be used ... propagation refers to the way in which the neurons are trained in this sort of neural network. Chapter 3 begins your introduction into this sort of network. A Fixed Wing Neural Network Some researchers...

Ngày tải lên: 14/02/2014, 20:20

... plasticity gate allowing incoming sensory inputs to modify the efficacy of the activated intracortical circuits. During the time between bursts the plasticity gate is closed and incoming inputs have no ... phantom limb pain. Interestingly, phantom pain was more prom- inent in patientsin whom the motor representations of face muscles were displaced medially, possibly reflecting an invasion of the ... transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage...

Ngày tải lên: 17/02/2014, 19:20