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(1)
Neural Network
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Matlab Neural Network Toolbox User''s Guide
Matlab Neural Network Toolbox User''s Guide,H. Demuth,M. Beale
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Matlab Neural Network Toolbox User''s Guide
(
Citations: 45
)
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H. Demuth
,
M. Beale
Published in 2000.
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Citation Context
(20)
...More specifically, 2/3 of the whole dataset has been used as training set and the remaining 1/3 as test set [
34
]...
Giuseppina Ambrogio
,
et al.
Prediction of incremental sheet forming process performance by using a...
...The range of the model input and output parameters are given in Table 2. As suggested by
Demuth et al. (2009)
, for a more effective learning phase, the input and output data were normalized to a range of 1.0 to 1.0 using the preprocessing functions:...
E. Tekin
,
et al.
Artificial neural networks approach for estimating the groutability of...
...The threelayer architecture is capable to approximate any problem function, provided that there are sufficient units in its hidden layer [
10
]...
A. Zabidi
,
et al.
Optimization of MFCC parameters using Particle Swarm Optimization for ...
...The LM algorithm was designed to approach secondorder training speed without having to compute the Hessian matrix [
18
]...
...function. In this way, the performance function will always be reduced at each iteration of the algorithm [
18
]...
Nadiah Mohamad
,
et al.
Comparison between LevenbergMarquardt and Scaled Conjugate Gradient t...
...Normalization processes the dataset so that the data has zero mean and unit variance [
24
]...
S. R. M. S. Baki
,
et al.
Nondestructive classification of watermelon ripeness using MelFreque...
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Citations
(45)
Identification of Partial Discharge Location in a Power Cable Using Fuzzy Inference System and Probabilistic Neural Networks
MingShou Su
,
JiannFuh Chen
,
YuHsun Lin
,
ChihKun Cheng
Journal:
Electric Power Components and Systems  ELECTR POWER COMPON SYST
, vol. 40, no. 6, pp. 613627, 2012
Kinematic analysis of a novel 3DOF actuation redundant parallel manipulator using artificial intelligence approach
(
Citations: 1
)
Dan Zhang
,
Jianhe Lei
Journal:
Robotics and Computerintegrated Manufacturing  ROBOT COMPUTINTEGR MANUF
, vol. 27, no. 1, pp. 157163, 2011
Prediction of incremental sheet forming process performance by using a neural network approach
Giuseppina Ambrogio
,
Luigino Filice
,
Francesca Guerriero
,
Rosita Guido
,
Domenico Umbrello
Journal:
International Journal of Advanced Manufacturing Technology  INT J ADV MANUF TECHNOL
, vol. 54, no. 9, pp. 921930, 2011
Neural Compensation for a Microcontroller Based Frequency SynthesizerVector Voltmeter
Amitava Chatterjee
,
Gautam Sarkar
,
Anjan Rakshit
Journal:
IEEE Sensors Journal  IEEE SENS J
, vol. 11, no. 6, pp. 14271428, 2011
Artificial neural networks approach for estimating the groutability of granular soils with cementbased grouts
E. Tekin
,
S. O. Akbas
Journal:
Bulletin of Engineering Geology and The Environment  BULL ENG GEOL ENVIRON
, vol. 70, no. 1, pp. 153161, 2011