artificial neural network in java pdf
backpropagation artificial neural network in c++ - codeproject
Ngày tải lên :
28/04/2014, 10:10
...
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,...
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Tài liệu Programming Neural Networks in JavaProgramming Neural Networks in Java will show the intermediate ppt
Ngày tải lên :
14/02/2014, 20:20
... 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 ... Understanding Neural Networks
Article Title:
Chapter 2: Understanding Neural Networks
Category: Artificial Intelligence Most Popular
From Series:
Programming Neural Networks in Java
Posted: ... 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...
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Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
Ngày tải lên :
23/03/2014, 19:20
... the
log-linear model. Training is applied to this full
neural network, as described in the next section.
4 Three Optimization Criteria and
their Training Methods
As with many other machine learning ... three parsing models differ in the crite-
ria the neural networks are trained to optimize.
Two of the neural networks are trained using the
standard maximum likelihood approach of opti-
mizing the ... necessary to choose the top parses dur-
ing training, and helped focus the early stages
of training on learning relevant discriminations.
Once the training of these networks was com-
plete, we tested...
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a facial expression classification system integrating canny, principal component analysis and artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... Rapid Facial Expression
Classification Using Artificial Neural Network [10], Facial
Expression Classification Using Multi Artificial Neural
Network [11] in the same JAFFE database.
TABLE IV. ... Facial
Expression
Classification Using
Artificial Neural
Networks [10]
73.3%
Facial Expression
Classification Using
Multi Artificial Neural
Network [11]
83.0%
Proposal System ... than Rapid Facial Expression
Classification Using Artificial Neural Networks [10] and
Facial Expression Classification Using Multi Artificial
Neural Network [11] (only used ANN).
Beside, this...
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facial expression classification based on multi artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... called local training. Phase (2) is to train CNN(s) in GF one-by-
one called global training.
In local training phase, we will train the SNN
1
first. After that we will train SNN
2
,
SNN
m
. ... local training
In the global training phase, we will train the CNN
1
first. After that we will train
CNN
2
,…,CNN
L
.
Fig 8. CNN1 global training
On the other approach is building the reliability ... it Multi Artificial Neural Network (MANN).
3 Multi Artificial Neural Network apply for image classification
3.1 The proposal MANN model
Multi Artificial Neural Network (MANN), applying for...
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application of back-propagation neural network in data forec
Ngày tải lên :
28/04/2014, 10:18
... training, and testing.
CONTENT
CONTENT
Introduction
Introduction
Steps in data forecasting modeling
Steps in data forecasting modeling
using neural network
using neural network
Determine network s ...
Back-Propagation neural
Back-Propagation neural
network in data forecasting
network in data forecasting
Le Hai Khoi, Tran Duc Minh
Le Hai Khoi, Tran Duc Minh
Institute Of Information Technology – VAST
Institute ... modeling using neural network
The works involved in are:
* Data pre-processing:
determining data interval: daily, weekly, monthly or quarterly; data type:
technical index or basic index;...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
Ngày tải lên :
29/03/2014, 21:20
...
should be divided into several sets (training, testing, production, on-line, remaining). The
training set is used to adjust the interconnection weights of the MPNN model. The testing
set is used ... local minimum far from the global one. During the learning process,
the network should be periodically tested on the testing set (not included in the training set)
www.intechopen.com
Artificial ... perceptron neural network (Božnar et al, 1993), but in the following
years we use an artificial neural networks in several other applications that differ very much
each another.
In this article we intend...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
Ngày tải lên :
22/03/2013, 15:01
... 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...
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Tài liệu Neural Network Applications in Intelligent doc
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...
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Tài liệu Ideas to help you when implementing Best Practices in the Cisco Network Academy Program pdf
Ngày tải lên :
18/01/2014, 04:20
... and troubleshooting that are used in
networking. Inquiring into the state of a technological system, interrogating it in a
systematic way, recording results, forming and testing hypotheses are ... internalization
of the learning assists the student in making sense of the learning process and
linking prior learning to the present as well as future learning in the way of goal
setting. Reflections ... is often common, resulting in just
"covering" the material;
• trainees/students reach a saturation point of listening during extended
lectures.
Using a mini-lecture with additional...
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Tài liệu Evolving the neural network model for forecasting air pollution time series pdf
Ngày tải lên :
17/02/2014, 22:20
... was obtained. The missing
values were imputed using the hybrid method, i.e., a
combination of linear interpolation and self-organizing
map (Junninen et al., 2004) which is applied earlier in
this ... vector
containing earlier air quality measurements at T+0 h
and weather observations at T+24 h (simulating a
weather forecast). In the training early stopping strategy
was used instead of using regularisation ... ability
during training. The training was stopped when the
validation error increased for five iterations and the
weights and biases at the minimum of the validation
error were utilised. As the training...
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Neural Network Toolbox in Matlab
Ngày tải lên :
28/04/2014, 10:17
... enter:
net=train(net,houseInputs,houseTargets);
During training, the following training window opens. This window displays
training progress and allows you to interrupt training at any point by
clicking
Stop Training.
... into three sets:
- 60% are used for training.
- 20% are used to validate that the network is generalizing and to stop
training before overfitting.
Fitting a Function
1-13
Using the Neural Network ... sections explain how to use three graphical tools for training neural
networks to solve problems in function fitting, pattern recognition, and
clustering.
Neural Network
including connections...
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computer programming - java - neural network gui with joone (2002)
Ngày tải lên :
29/04/2014, 14:52
... property of a neural network using a different
data set to the one used during
the training phase.
The training input data set can be attached by dragging an arrow from the input
component ... within a
range determined by its
min
and
max
parameters.
Turning Points Extractor
This plugin extracts the turning points of a time series,
generating a useful input signal for a neural ...
The first neural network
5
A simple but useless neural network
5
A real implementation: the XOR problem.
6
Saving and restor
ing a neural network
.9
The simplest way
9
Using a NeuralNet...
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programming neural networks with encog 2 in java
Ngày tải lên :
29/04/2014, 14:54
... 2 in Java
Chapter 1: Introduction to Encog
27
Chapter 1: Introduction to Encog
The Encog Framework
What is a Neural Network?
Using a Neural Network
Training a Neural Network ...
Training
Training Set
XOR Operator
48
Programming Neural Networks with Encog 2 in Java
Some NeuralLogic classes require specific layer types. For the
NeuralLogic classes to find ... process incoming data. NeuralLogic
classes allow Encog to be compatible with a wide array of neural network
types.
28
Programming Neural Networks with Encog 2 in Java
What is a Neural Network? ...
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