P D Picton (14 results)

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.

Condition: Very Good. [2], iii, 148, 8 col plates, text figs, distribution maps. . PB. Vg. Small ownership to title page. A report of a survey carried out by the diving team of the Botany and Zoology Department of the Ulster Museum in fulfilment of a contract with Conservsation Branch of the Department of the Environment (N.I.). [9780337082689].

Condition: Very Good. [2], iii, 148, 8 col plates, text figs, distribution maps. . PB. Vg. A report of a survey carried out by the diving team of the Botany and Zoology Department of the Ulster Museum in fulfilment of a contract with Conservsation Branch of the Department of the Environment (N.I.). [9780337082689].

Soft cover. Condition: Fine. 1st Edition. iv, 148 pages. Illustrations, maps, tables. 295x210mm. Original pictorial card covers. A fine copy without any damage, library stamps, inscriptions or other markings. Images and further information available on request.

Condition: new.

Condition: New. "Neural Networks" provides a gentle introduction to the subject, for undergraduates from computer science and electrical engineering degrees. This updated and revised second edition assumes no prior knowledge and sets out to describe what neural nets are, what they do, and how they do it. Series: Grassroots S. Num Pages: 208 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 155 x 15. Weight in Grams: 404. . 2000. Paperback. . . . .

Paperback. Condition: New.

PF. Condition: New.

Condition: New. "Neural Networks" provides a gentle introduction to the subject, for undergraduates from computer science and electrical engineering degrees. This updated and revised second edition assumes no prior knowledge and sets out to describe what neural nets are, what they do, and how they do it. Series: Grassroots S. Num Pages: 208 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 155 x 15. Weight in Grams: 404. . 2000. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Condition: Like New. Like New. book.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condition: Neu. Neural Networks | P. D. Picton | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2000 | Bloomsbury 3PL | EAN 9780333802878 | Verantwortliche Person für die EU: Macmillan Education, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that by the end of the book the reader will have a good overall knowledge of developments right up to current work in the field.- Updated and expanded second edition- Main networks covered are: feedforward networks such as the multilayered perceptron, Boolean networks such as the WISARD, feedback networks such as the Hopfield network, statistical networks such as the Boltzmann machine and Radial-Basis function networks, and self-organising networks such as Kohonen's self-organizing maps. Other networks are referred to throughout the text to give historical interest and alternative architectures- The applications discussed will appeal to student engineers and computer scientists interested in character recognition, intelligent control and threshold logic. The final chapter looks at ways of implementing a neural network, including electronic and optical systemsThis book is suitable for undergraduates from Computer Science and Electrical Engineering Courses who are taking a one module course on neural networks, and for researchers and computer science professionals who need a quick introduction to the subject.PHIL PICTON is Professor of Intelligent Computer Systems at University College Northampton. Prior to this he was a lecturer at the Open University where he contributed to distance learning courses on control engineering, electronics, mechatronics and artificial intelligence. His research interests include pattern recognition, intelligent control and logic design.