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Neural Network Design
Hagan, Martin T.

Edition
1
ISBN/ISSN
0534943322
Collation
-
Series Title
-
Call Number
006.3 HAG N

Edition
1
ISBN/ISSN
0534943322
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006.3 HAG N
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Designing and Developing a Neural Network Path Planner System on Mekanum Whee…
Pratama, DirgaTanaya, Prianggada Indra

The objective of this thesis work is to develop a mekanum wheel mobile robot platform that has a neural network approach in generating the shortest path while avoiding collisions.A mekanum wheel mo…

Edition
-
ISBN/ISSN
-
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Call Number
1554
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Solar storm type classification using probabilistic neural network compared w…
Budhi, Gregorius S.Adipranata, RudySetiahadi, BambangN., Adrian H.

Edition
-
ISBN/ISSN
0216 - 0544
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-
Call Number
-

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ISBN/ISSN
0216 - 0544
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-
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Design optimization of micro hydro turbine using artificial particle swarm op…
Purnomo, Mauridhi HeryJasa, LiePutri, Ratna IkaPriyadi, Ardyono

Edition
-
ISBN/ISSN
0216 - 0544
Collation
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-

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0216 - 0544
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Voting of artificial neural network particle swarm optimization biclassifier …
Anggraeny, Fetty TriWidiasri, Monica

Edition
-
ISBN/ISSN
0216-0544
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-

Edition
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ISBN/ISSN
0216-0544
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-
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Modeling the environment of a mobile robot using a time series convolutional …
Rusyadi, RusmanSchwung, AndreasSuryajaya, Shannon

This thesis present a method for 2D laser scan matching using a 1D time series Convolutional Neural Network to solve SLAM problem. Scan matching is the problem of finding the relative position from…

Edition
-
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-
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Call Number
2974
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Convolutional Neural Network (CNN) implementation on bionic hand in compariso…
Budiarto, EkaSetyawan, Luke Indracahya

The main objective of this thesis is to improve the implementation of gesture classifier on Bionic Hand, which uses the Electromyography (EMG) signal from the Myo Armband device. The improvement is…

Edition
-
ISBN/ISSN
-
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-
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Call Number
2966
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Real - time traffic light recognition with deep learning
Rusyadi, RusmanFransiska

Due to the high number of car accidents caused by human error, the development of Automated Driver Assistance System (ADAS) has become an integral part in road safety. By improving the driver

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2961
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Conditional monitoring of industrial processes with deep neural networks
Rusyadi, RusmanSchwung, AndreasGlen, Chosua

In this paper a condition monitoring an in industrial processes is made with deep learning algorithm, with data served from IEEE PHM Challenge of the bearings

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2955
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