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A brief introduction to neural networks

This book introduces the Java programmer to the world of Neural Networks and Artificial Intelligence using SNIPE. SNIPE is a well-documented JAVA library that implements a framework for neural networks in a speedy, feature-rich and usable way.

Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots.

Text and illustrations should be memorable and easy to understand to offer as many people as possible access to the field of neural networks. The chapters are individually accessible to readers with little previous knowledge

Ketersediaan
K3357006.3 KRI a.1.ED1-INGGRIS PEMB-2017Kampus Tipes (006)Tersedia
K3358006.3 KRI a.1.ED1-INGGRIS PEMB-2017Kampus Tipes (006)Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
006.3 KRI a.1.ED1-INGGRIS PEMB-2017
Penerbit
Creartive commons : .,
Deskripsi Fisik
v,244,28
Bahasa
English
ISBN/ISSN
-
Klasifikasi
NONE
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
NETWORKS - INGGRIS
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

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