[PDF] Top 20 INTRODUCTION TO MATLAB NEURAL NETWORK TOOLBOX
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INTRODUCTION TO MATLAB NEURAL NETWORK TOOLBOX
... Elman network. The Elman network differs from conventional two- layers network in that the first layer has recurrent ...layer to its input. This feedback path allows Elman networks to ... Lihat dokumen lengkap
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Acoustic Performance of Exhaust Muffler Based Genetic Algorithms and Artificial Neural Network
... way to control exhaust ...input to the sound pressure level and diesel fuel each output artificial neural network (BP network) learning ...sample. Matlab artificial neural ... Lihat dokumen lengkap
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Banknote authentication using artificial neural network.
... is to know how to identify and classify that the banknotes are real or ...Artificial Neural Network using back-propagation ...application to get the optimized ... Lihat dokumen lengkap
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ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK POLA KARTER HURUF JAWA
... Propagation Neural Network (BPNN) is a type of algorithm in Neural Network that can be use for Javanese alphabets character ...recognition. Matlab 7.1 has been used as a software ... Lihat dokumen lengkap
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Perancangan Sistem Pengenal Digit Angka Meter Air Menggunakan Jaringan Syaraf Tiruan Kohonen
... [5] MATLAB help, Neural Network Toolbox mathworks inc., 2011 [6] MATLAB help, Image Processing Toolbox mathworks inc., 2011 [7] Patardo Marasi Manurung 2008: Perangkar Lunak Pengenalan [r] ... Lihat dokumen lengkap
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DIAGNOSA KANKER OTAK MENGGUNAKAN RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN).
... Dewasa ini telah banyak penelitian mengenai kanker otak yang dikaitkan dengan berbagai bidang ilmu. Salah satu bidang ilmu yang sering digunakan dalam penelitian kanker otak adalah bidang ilmu matematika. Salah satu ... Lihat dokumen lengkap
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View of Application of Neural Network Methods Based on Genetic Algorithm for Breast Cancer Prediction
... test to determine the parameter values on the neural network is done using 10 folds cross validation which will randomly take 10% of the training data for as data ...as to increase accuracy ... Lihat dokumen lengkap
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Pembangkit Fungsi Keanggotaan Fuzzy Otomatis Menggunakan Neural Network
... Neural Networks (NN) atau Jaringan Syaraf Tiruan (JST) adalah prosesor yang terdistribusi paralel, terbuat dari unit-unit yang sederhana, dan memiliki kemampuan untuk menyimpan pengetahuan yang diperoleh secara ... Lihat dokumen lengkap
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APLIKASI SENSOR TGS SERIES UNTUK IDENTIFIKASI JENIS DAN KANDUNGAN GAS DENGAN METODE NEURAL NETWORK BACKPROPAGATION BERBASIS MIKROKONTROLER AVR
... Metode Neural Network Backpropagation Berbasis Mikrokontroler AVR; Arizal Mujibtamala Nanda Imron, 081910201003; 2013: 55 halaman; Jurusan Teknik Elektro Fakultas Teknik Universitas ... Lihat dokumen lengkap
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Abstract Nur Endah Lizarifin1 , Haris Rachmat2 , Denny Sukma Eka Atmaja
... sent to the neurons with a specific weight of arrival and processed by the propagation function that will sum all grades weights ...output to all the neurons associated with ...place to enter ... Lihat dokumen lengkap
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IMPLEMENTASI PENDEKATAN GRAPHIC PROCESSING UNIT (GPU) PADA ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN LEAST SQUARES SUPPORT VECTOR MACHINE (LS-SVM) IMPLEMENTATION OF GRAPHIC PROCESSING UNIT (GPU) APPROACH IN SUPPORT VECTOR MACHINE (SVM) AND LEAST SQUARES
... Vector Machine (SVM) dengan GPU, 89x sampai 263x lebih cepat dibandingkan dengan LIBSVM ataupun MATLAB's Parallel Computing Toolbox. Penelitian yang dilakukan oleh Jesse Patrick Harvey menggunakan database dari ... Lihat dokumen lengkap
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PREDIKSI PENYAKIT HATI DENGAN MENGGUNAKAN MODEL ALGORITMA NEURAL NETWORK
... than to collect hidden data in a ...useful to carry on those problems. In this research, Neural Network algorithm method is used to get liver disease prediction, Neural ... Lihat dokumen lengkap
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Prediksi Nilai Kredit Pemilikan Rumah Menggunakan Evolving Fuzzy Neural Network (EFUNN)
... need to pay for the total price of the house and the customer will pay with installments to bank with interest ...needs to appropriately allocate its ...fuzzy neural network (EFuNN) for ... Lihat dokumen lengkap
2
beginning app development tensorflow keras pdf
... convolutional neural networks (CNNs) and recurrent neural networks ...due to their relevance in the field: Long-short term memory (LSTM) networks, an RNN variant; generative adversarial networks ... Lihat dokumen lengkap
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Beginning Application Development with TensorFlow and Keras Learn to design, develop, train, and deploy TensorFlow and Keras models as real world applications pdf pdf
... convolutional neural networks (CNNs) and recurrent neural networks ...due to their relevance in the field: Long-short term memory (LSTM) networks, an RNN variant; generative adversarial networks ... Lihat dokumen lengkap
144
Klasifikasi Glaucoma Menggunakan Cup-To-Disc Ratio dan Neural Network
... menggunakan neural network algoritma backpropagation, didapat kelas mild glaucoma, akurasi 99%, sensitivity 99%, specivity 97,5%, kelas moderate glaucoma, akurasi 85%, sensitivity 85%, specivity 99%, kelas ... Lihat dokumen lengkap
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PENGENALAN WARNA UNTUK PENYANDANG BUTA WARNA DENGAN OUTPUT SUARA DAN TEXT
... Pada paper ini akan disamakan persepsi antara warna yang ditangkap visual manusia yang berupa mata dengan sensor pada alat ini adalah web kamera. Telah diketahui bahwa ada kesenjangan atau perbedaan informasi yang ... Lihat dokumen lengkap
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Prediksi Masa Studi Sarjana dengan Artificial Neural Network
... Al Cripps (1996) telah melakukan penelitian penggunaan ANN untuk memprediksi perfomansi akademik berupa presentasi kelulusan, masa studi, dan GPA. Penelitian tersebut menggunakan tidak menggunakan data akademis yang ... Lihat dokumen lengkap
5
Performance Of Scaled Conjugate Gradient Algorithm In Face Recognition.
... of neural networks after the publication of "Learning Internal Representations by Error Propagation" in 1986 (Though backpropagation itself dates from ...original network utilised multiple layers of ... Lihat dokumen lengkap
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