... applicationsin intelligent manufacturing.
Neural Network Applications
in Intelligent Manufacturing
System Modeling
and Design
Process Modeling,
Planning and
Scheduling
Process Monitoring
and Control
Quality ... backpropagation
learning rule of neural networks,
Computers and Industrial Engineering,
20, 425, 1991.
40. Jamal, A. M. M., Neural networks and cellular manufacturing: The benefits of applying a neural
network ...
Computers and
Electrical Engineering,
19, 87, 1993.
48. Lee, Y. H., and Kim, S., Neuralnetworkapplications for scheduling jobs on parallel machines,
Computers and Industrial Engineering,
...
...
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 4 ... 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.
>ann1dn t network. nn data1_file ... layer:
ANNetwork::ANNetwork(const wchar_t *fname);
ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer);
int nerons_per_layer[4] = {128, 64, 32, 10};
ANNetwork *ann = new ANNetwork(4,...
...
neural networks; the second volume contains artifi cial neuralnetworkapplicationsin
industrial and control engineering.
This second volume begins with a part of artifi cial neuralnetworkapplications ... application of ANN in textiles and clothing
industries will be addressed in last section.
ArtificialNeural Networks - Industrial and Control EngineeringApplications
6
neural net produced ... pilling, finger marks, and others.
free online editions of InTech
Books and Journals can be found at
www.intechopen.com
ArtificialNeural Networks - Industrial and Control Engineering Applications
Edited...
... as the input units of the neural network. They used
a back propagation neuralnetwork by eight defect samples for off line training. The initial
learning rate was 0.1; keeping reducing to 0.01 ... beyond 3 mm, breaking strength, breaking
ArtificialNeural Networks - Industrial and Control EngineeringApplications
24
Study Area No Title Author Journal Year Vol(No),pp. Findings Limitations ... results were obtained from the
generalized feed forward neuralnetwork algorithms. He examined the predictive power by
ArtificialNeural Networks - Industrial and Control Engineering Applications...
... percentage
ArtificialNeural Networks - Industrial and Control EngineeringApplications
88
Sao, K.P. & Jain, A. K. (1995). Mercerization and crimp formation in jute. Indian Journal ... of Intelligent Methods for Evaluating the
Apparent Quality of Knitted Fabrics. EngineeringApplications of Artificial Intelligence,
Vol.23, pp. 217-221, ISSN 0952-1976
ArtificialNeural Networks ... percentage compression by ANN model
ArtificialNeural Networks - Industrial and Control EngineeringApplications
74
Tenacity in the machine direction Tenacity in the transverse direction
Predicted...
... trainin
g
2
nd
ANN trainin
g
3
rd
ANN trainin
g
4
th
ANN trainin
g
5
th
ANN trainin
g
Randoml
y
initialized wei
g
hts & biases
Wei
g
hts & biases from the 1
st
trainin
g
1
st
trainin
g
... description of artificialneuralnetwork configuration
ArtificialNeural Networks - Industrial and Control EngineeringApplications
120
, where x
i
is the input of node j of the input layer, ... step training; (b) – in the beginning of the 2
nd
step training; (c) – at the end of the training. On each screenshot: the menu on the left
defines training parameters; the graph in middle-top...
... 14.14GPa which is
corresponding to the sintering temperature of 1420°C and the holding time of 80min, while
ArtificialNeural Networks - Industrial and Control EngineeringApplications
158
2.5 ... Neural Networks - Industrial and Control EngineeringApplications
146
According to the BP neuralnetwork model, the number of hidden neurons is initially
chosen as 6, so the neuralnetwork ... algorithm in the optimization
of hot pressing parameters
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The depicting effect of mentioned factors and their interactions...
... (as-received)
ArtificialNeural Networks - Industrial and Control EngineeringApplications
168
Botlani-Esfahani. M, Toroghinejad. M. R. and Abbasi. Sh. (2009b) ArtificialNeuralNetwork
Modeling the ... Precipitation in North Carolina. Water, Air, and Soil Pollution, 172,
167.
ArtificialNeural Networks - Industrial and Control EngineeringApplications
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for testing. For the training stage, ... Parameters of RSWS dynamic model
ArtificialNeural Networks - Industrial and Control EngineeringApplications
192
Once the artificialneuralnetwork is trained, which means that all of the...
...
propagation error. Learning of the network was carried out using 9 data points from the
ArtificialNeural Networks - Industrial and Control EngineeringApplications
228
networks is given by ... 150-158(9)
Part 3
Food Industry
ArtificialNeural Networks - Industrial and Control EngineeringApplications
232
ANN was investigated, is given in Table 2. In regard to carcass classification ... iterative principle, which is similar to training of the
network.
2.1 Feed-forward neuralnetwork
Feed-forward neuralnetwork was the first type of ANN developed. In this network, the
information...
... 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. ... 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 ... 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 applications...