0
Your cart

Your cart is empty

Books > Computing & IT > General theory of computing

Buy Now

Artificial Neural Networks in Hydrology (Paperback, Softcover reprint of hardcover 1st ed. 2000) Loot Price: R4,378
Discovery Miles 43 780
Artificial Neural Networks in Hydrology (Paperback, Softcover reprint of hardcover 1st ed. 2000): R.S. Govindaraju, A.R. Rao

Artificial Neural Networks in Hydrology (Paperback, Softcover reprint of hardcover 1st ed. 2000)

R.S. Govindaraju, A.R. Rao

Series: Water Science and Technology Library, 36

 (sign in to rate)
Loot Price R4,378 Discovery Miles 43 780 | Repayment Terms: R410 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

General

Imprint: Springer
Country of origin: Netherlands
Series: Water Science and Technology Library, 36
Release date: December 2010
First published: 2000
Editors: R.S. Govindaraju • A.R. Rao
Dimensions: 240 x 160 x 18mm (L x W x T)
Format: Paperback
Pages: 332
Edition: Softcover reprint of hardcover 1st ed. 2000
ISBN-13: 978-90-481-5421-0
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Earth & environment > Earth sciences > The hydrosphere > General
Promotions
LSN: 90-481-5421-9
Barcode: 9789048154210

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners