application of neural network in design of digital filters
application of back-propagation neural network in data forec
... forecasting problem for a kind of data processing problem Data collecting and analyzing Pre-processing Neural Networks Post-processing Figure 1: Data Processing Steps in data forecasting modeling ... verification, training, and testing Determining network s topology This step determines links between neurons, number of hidden layers, number of neurons in each layer How neurons in network are ... Dividing the data set into smaller sets: training, test and verification ５． Determining network s topology: number of hidden layers, number of neurons in each layer, number of neurons in output...
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Báo cáo hóa học: "Investigating the synchronization of hippocampal neural network in response to acute nicotine exposure" pdf
... Details 1Harrington Department of Bioengineering, Fulton School of Engineering ASU, Tempe AZ, USA and 2Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, ... amount of findings, accumulation of amyloid plaques which are the baseline indicator in the brain for AD is interfered by nicotine, which is very promising for the future of AD patients [20,21] In ... rage of intense studies needs to be performed before drawing any significant conclusions [23] There are some studies indicating nicotine's positive effects in improving cognitive functioning in individuals...
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Báo cáo lâm nghiệp: "Application of digital elevation model for mapping vegetation tiers" pdf
... the definition of individual vegetation tiers in both systems The most important differences are in the 5th and in the 2nd vegetation tiers in the study area Differences in the mapping of the ... showing the distribution of potential global radiation in vegetation tiers determined through field survey Center line and outside edge (hinges) of each box represent the median and range of inner ... Differences in the mapping of the 2nd vegetation tier revealed insufficient incorporation of the effect of vegetation inversion by the model CONCLUSION Vegetation tiers were successfully modelled in the...
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backpropagation artificial neural network in c++ - codeproject
... The binary floating point file format is expedient when you have a large amount of data The data is saved in a separate file as a sequence of floating point numbers in binary format, using bytes ... the console application for backprop training are optional You may use them for validation and testing of your network, for input data normalization, and error limits during training process ... The A N t o k N e w r class contains the implementation of the neural network for users of the library To avoid protected interface programming for the rest of the classes, I used f i n s I'll...
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báo cáo hóa học:" Research Article Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids" pot
... the neural network and looking for the greatest value, once the network is trained there is no need of determining the complete output of the network (zi ), being enough to determine the linear ... for improving speech intelligibility in hearing aids using a layered structure,” in Proceedings of the 7th International Conference Intelligent Data Engineering and Automated Learning (IDEAL ... weights of the neural network In this experimental work, aiming at clearly distinguishing the different phenomena involved, the activation function used in the neural network is the original hyperbolic...
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Tài liệu Application of Fuzzy Set Theory in Flexible Manufacturing System Design pptx
... • • • Minimizing lateness/tardiness Minimizing makespan Maximizing system/machine utilization Minimizing WIP (work in process) Maximizing throughput Minimizing average flow time Minimizing maximum ... routings A routing is selected such that the following goals are achieved: • Minimizing number of blocked machines • Minimizing total processing time • Minimizing number of processing steps Four ... framework for the design of expert systems Indeed, the design of expert systems may well prove to be one of the most important applications of fuzzy logic in knowledge engineering and information technology...
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RESEARCH, DESIGN AND FABRICATION OF DIGITAL INFORMATION TRANSIMITER WORKING IN THE VHF BAND
... available in 22-pin DIL 41 Figure 4.11 Schematic of delta modulation circuit *Function of all pin in FX609J -Pin 1(Xtak/Clock):Input to the clock oscillator inverter.A nominal 455KHz xtal input -Pin ... Variation of Gain With Input Level 28 The variation in output level, relative to the value at -15 dBm0 input, shall be within the limits of Figure 3.7 and Figure 3.8 for an input frequency of 800 ... will continue to be amplifying until the coefficient gain large enough to be self-excitation Figure 2.3 Diagram of operating circuit showing signal in time domain Figure 2.4 Diagram of feedback...
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báo cáo hóa học: " Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system" pptx
... limitations in choosing the total length of (tstart + tfinish) If the length of (tstart + tfinish) increases, more artifacts may be present in an IC epoch As a result, the number of training epochs ... direct brain interfaces – rethinking the definition of asynchronous and synchronous Proc of HCI Int Conf Las Vegas, USA 2005 Birch GE, Lawrence PD, Hare RD: Single-trial processing of event-related ... the size of the NC training feature set was reduced to be the same as the size of the training IC feature sets This was done by randomly selecting epochs from the NC training set Results In this...
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báo cáo hóa học:" Research Article Performance Analysis of Bit-Width Reduced Floating-Point Arithmetic Units in FPGAs: A Case Study of Neural Network-Based Face Detector" ppt
... analysis for neural network implementations was introduced in [7] A formula that estimates the standard deviation of the output differences of fixed-point and floating-point networks was developed in [8] ... diagram of the neural network in an FPGA Therefore, a 2-layer MLP is enough to be examined in this paper The number of neurons of 400 and 300 were used for input and first layer respectively in this ... Estimation of the Neural Network The FPU representation error increases with repetitive multiplication and addition in the neural network The difference in output can be expressed using the following...
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neural network based adaptive controller design of robotic manipulators with an observer 88 doc
... dynamics function defined in (24), since the function is continuous with its bounded inputs Then tr satisfying (30) is defined in (8), is where is the apthe corresponding input vector of the NN, and ... of the Department of Automation at Tsinghua University, Beijing, China Now he is an Associate Professor in the Department of Computer Science and Technology, Tsinghua University, Beijing, China ... Engineering of Northern Illinois University His research interests include robotics, intelligent control, digital signal processing, fuzzy systems, neural networks, and other related fields During...
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A self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
... The algorithm of information processing proposed in this paper is of great use not only as an inference upon the mechanism of the brain but also to the field of engineering One of the largest ... numbers of excitatory cells in these seven layers are: 16x 16 in Uo, 16x x in Us1, 10x 10x 2 4in Ucl, • x 2 4in Us2, x x 2 4in Uc2, x • 24 in Us3, and 24 in Uc3 In the last layer Uc3, each of the ... response of the final layer of the network Fig A display of an example of the response of all the individual cells in the neocognitron layers Us2 and Us3 are preceded by C-layers consisting of 24...
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Neural network adaptive force and motion control of robot manipulators in the operational space formulation
... element of the link mass, three elements of the first moments (by product of the link mass times the coordinates of the center -of- mass), six elements of the inertia tensor and one element of the ... components of the first moment of inertia of Link i, six components of the inertia tensor of Link i and the moment inertia of the motor (scalar) • The (2 × 1) joint friction parameters are comprised ... Assoc Prof Marcelo H Ang Jr., for the opportunity to have worked with during my research at National University of Singapore Also to the following professors for their inspiring works: Prof Oussama...
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Knowledge discovery in biomedical research and drug design the development and application of biological databases
... Construction of Protein-Protein Interaction Network 4.2.1 The need of the construction of protein-protein interaction network 118 4.2.2 Procedure of protein-protein interaction network construction ... construction of protein-protein interaction network Comparing to other similar networks available online, all of the protein-protein interactions in the KDBI are confirmed by the literature with kinetic ... application of data mining in the knowledge discovery in various areas of biomedical research The introduction of data mining in biomedical research in turn enables the development and application of...
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Design, analysis and application of divisible load scheduling strategies in linear daisy chain networks with system constraints
... independent links in linear networks We investigate the problem of aligning biological sequences in the field of bioinformatics For first time in the domain of DLT, the problem of aligning biological ... as linear networks have a pipelined communication pattern involving (m − 1) links, where m is the number of processors in the system Further, in the case of linear networks, adopting multi-installment ... strategy on linear networks Linear networks consist of set of processors interconnected in a linear daisy chain fashion The network can be considered as a subset of other much complex network topologies...
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Neural network approach to grading maintainability of wet areas in high rise buildings
... Function of maintainability 16 Chapter Literature review 2.3 MANAGEMENT OF RISK IN MAINTAINABILITY Grading of the maintainability requires the exploration of the underlying risk environment of buildings’ ... on achieving maintainable designs, owing to poor awareness of the maintainability problems during the service life of building The study was set to collate existing problems of maintainability ... and building profile 2.2 MAINTAINABILITY The concept of maintainability was formally initiated by the military services of the United States in 1954 [32] Maintainability is defined in BS 3811:...
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On Line Prediction Of Surface Finish And Dimensional Deviation In Turning Using Neural Network Based Sensor Fusion
... fusion method Accordingly, the procedure of collecting experimental data obtained in single point turning of SAE-1018 steel under a variety of machining conditions, will be presented in detail The ... pre-determined number of neural networks are trained Each network is designed with a different set of input sensors selected based on an orthogonal array (OA) On selecting the OA to design the networks ... presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are very advantageous in situations where nonlinear mappings must...
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Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi’s orthogonal arrays
... value of S D Ratio of the best network obtained using 48 training cases is inferior to that of the best network obtained using 30 cases Regarding the best network obtained using 60 training cases, ... 500 training cases It also evidences that variance of the best network obtained for the training set containing 30 cases is inferior to that of networks obtained for training sets containing more ... resulting from Z-test for the best network congurations obtained in each experiment Number of training cases Mean values of S D Ratio for best network obtained for training set Number of training...
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On Line Prediction Of Surface Finish And Dimensional Deviation In Turning Using Neural Network Based Sensor Fusion
... fusion method Accordingly, the procedure of collecting experimental data obtained in single point turning of SAE-1018 steel under a variety of machining conditions, will be presented in detail The ... pre-determined number of neural networks are trained Each network is designed with a different set of input sensors selected based on an orthogonal array (OA) On selecting the OA to design the networks ... presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are very advantageous in situations where nonlinear mappings must...
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