Dasar Komputasi Cerdas

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