BAB I. PENDAHULUAN ......................................................... 1
1.1. Tinjuan Biologis Otak Manusia .................................... 1
1.2. Sejarah Jaringan Syaraf Tiruan .................................... 3
1.3. Model Umum Jaringan Saraf Tiruan ........................... 6
1.4. Model Matematis Jaringan Saraf Tiruan .................... 7
1.5. Karateristik Jaringan Saraf Tiruan ............................... 8
1.6. Jenis Jaringan Saraf Tiruan ........................................... 9
1.7. Arsitektur Jaringan ........................................................ 10
1.8. Fungsi Aktasi .................................................................. 13
1.9. Proses Pembelajaran ...................................................... 15
1.10. Algoritma Umum Jaringan Saraf Tiruan .................... 18
1.11. Perbandingan Otak Manusia dan CPU ...................... 19
BAB II. HEBB RULE ................................................................... 23
2.1. Algoritma ........................................................................ 24
2.2. Aplikasi ........................................................................... 24
BAB III. PERCEPTRON ............................................................... 27
3.1. Algoritma Pelatihan ...................................................... 28
3.2. Aplikasi Jaringan ........................................................... 30
BAB IV. DELTA RULE, ADALINE, MADALINE ................. 49
4.1. Delta Rule ........................................................................ 49
4.2. Adaline/Madaline ......................................................... 52
BAB V. BAGPROPOGATION .................................................. 57
5.1. Pengertian Backpropogation ........................................ 57
5.2. Arsitektur Jaringan ........................................................ 57