Competitive Network

Competitive network uses Hamming Network which is contained feedforward and recurrent layer.

Open your Matlab and try this lab example. Just copy and paste to see how this kind of network worked. Newc is a function from matlab to create a competitive network. Use this Competitive Network file for practise.

Try to train a competitive network. After training the network, try to simulate the trained network to find the result from a sample input.

This is a result from simulation of samplec on Pc. Type on command window “help newc” to study the syntax of newc function from your Matlab.

>> Yc1 = sim(samplec, Pc)

Yc1 =

(2,1) 1

(2,2) 1

(2,3) 1

(1,4) 1

(1,5) 1

(1,6) 1

Tentang rahmadya

I'm a simple man .. Lahir di Sleman Yogyakarta, 7 Juni 1976 PENDIDIKAN: TK : - (tidak ada TK di tj Priok waktu itu) SDN : Papanggo, Jakarta 83 - 89 SMPN : 129, Jakarta 89 - 92 SMAN : 8, Yogyakarta 92 - 95 Univ. : Fak. Teknik UGM, Yogyakarta 95 - 2001 Pasca. : Tek. Informatika STMIK Nusa Mandiri, Jakarta 2008 - 2010 Doctoral : Information Management Asian Institute of Technology, Thailand 2013 - 2018 PEKERJAAN: Tek. Komputer AMIK BSI Jakarta : 2002 - 2005 IT Danamon Jakarta : 2005 - 2008 Tek. Informatika STMIK Nusa Mandiri Jakarta : 2005 - 2008 Univ. Darma Persada Jakarta: 2008 - 2013 Fakultas Teknik Universitas Islam "45" Bekasi : 2008 - Skrg ( Homebase) Univ. Bhayangkara Jakarta Raya: 2018 - Skrg Univ. Nusa Putra Sukabumi: 2018 - Skrg
Pos ini dipublikasikan di Artificial Neural Network, Fuzzy Logic, Matlab. Tandai permalink.

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  1. Ping balik: Membuat Jaringan Syaraf Tiruan (JST) di Matlab | Rahmadya Trias Handayanto

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