Theory and Applications of Neural Networks: Proceedings of the First British Neural Network Society Meeting, London: Perspectives in Neural Computing
Editat de J.G. Taylor, C.L.T. Mannionen Limba Engleză Paperback – 11 noi 1991
Din seria Perspectives in Neural Computing
- 20% Preț: 986.66 lei
- 20% Preț: 651.23 lei
- 20% Preț: 1159.10 lei
- 20% Preț: 987.65 lei
- 20% Preț: 648.44 lei
- 20% Preț: 583.12 lei
- 20% Preț: 989.79 lei
- 20% Preț: 327.29 lei
- 20% Preț: 339.34 lei
- 20% Preț: 639.52 lei
- 20% Preț: 648.59 lei
- 20% Preț: 335.52 lei
- 20% Preț: 646.80 lei
- 20% Preț: 647.79 lei
- 20% Preț: 641.49 lei
- 15% Preț: 643.99 lei
- 20% Preț: 329.91 lei
- 20% Preț: 326.46 lei
- 20% Preț: 643.50 lei
- 20% Preț: 398.07 lei
- 20% Preț: 646.47 lei
- 18% Preț: 786.36 lei
- 20% Preț: 326.64 lei
- 20% Preț: 650.73 lei
- 20% Preț: 648.26 lei
- 20% Preț: 652.73 lei
- 20% Preț: 648.76 lei
- 20% Preț: 335.18 lei
- 20% Preț: 334.20 lei
Preț: 335.88 lei
Preț vechi: 419.85 lei
-20% Nou
Puncte Express: 504
Preț estimativ în valută:
64.28€ • 66.31$ • 54.40£
64.28€ • 66.31$ • 54.40£
Carte tipărită la comandă
Livrare economică 05-19 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540196501
ISBN-10: 3540196501
Pagini: 320
Ilustrații: XIII, 305 p. 8 illus.
Dimensiuni: 170 x 242 x 17 mm
Greutate: 0.51 kg
Ediția:1st Edition.
Editura: SPRINGER LONDON
Colecția Springer
Seria Perspectives in Neural Computing
Locul publicării:London, United Kingdom
ISBN-10: 3540196501
Pagini: 320
Ilustrații: XIII, 305 p. 8 illus.
Dimensiuni: 170 x 242 x 17 mm
Greutate: 0.51 kg
Ediția:1st Edition.
Editura: SPRINGER LONDON
Colecția Springer
Seria Perspectives in Neural Computing
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Invited Lecture.- Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning.- Tutorials.- Dynamical Systems and Artificial Neural Networks.- Neural Modelling.- Self-Organising Neural Maps and their Applications.- Contributed Papers.- The Application of Topological Mapping in the Study of Human Cerebral Tumours.- Reliable Memory from Unreliable Components.- Possible Strategies for Using Sleep to Improve Episodic Memory in the Face of Overlap.- Curvature-Driven Smoothing in Backpropagation Neural Networks.- A Spontaneously Growing Network for Unsupervised Learning.- Virtual Connectivity Through Structural Dissipation; Parallel Distributed Computation with Local Connectivity.- Temporally Processing Neural Networks for Morse Code Recognition.- Dynamics of Binary Networks with Extended Time-Summation.- Training Strategies for Probabilistic RAMs.- Computer Simulations of Recurrent Neural Nets for Temporal Recognition Problems.- Invited Papers.- Learning Vector Quantisation and the Self Organising Map.- Nature of the Functional Loss in Amnesia: Possible Role for a Highly Structured Neural Network.- Activity Patterns in Cortical Minicolumns.- Dynamics and Memory in Random and Structured Neural Networks.- Additional Paper (not given at conference).- Coupled Excitable Cells.