Neural Nets WIRN VIETRI-97: Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 22–24 May 1997: Perspectives in Neural Computing
Editat de Maria Marinaro, Roberto Tagliaferrien Limba Engleză Paperback – 6 dec 2011
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: 652.73 lei
- 20% Preț: 648.76 lei
- 20% Preț: 335.18 lei
- 20% Preț: 334.20 lei
- 20% Preț: 335.88 lei
Preț: 648.26 lei
Preț vechi: 810.33 lei
-20% Nou
Puncte Express: 972
Preț estimativ în valută:
124.06€ • 127.99$ • 104.100£
124.06€ • 127.99$ • 104.100£
Carte tipărită la comandă
Livrare economică 05-19 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781447115229
ISBN-10: 1447115228
Pagini: 352
Ilustrații: IX, 338 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: SPRINGER LONDON
Colecția Springer
Seria Perspectives in Neural Computing
Locul publicării:London, United Kingdom
ISBN-10: 1447115228
Pagini: 352
Ilustrații: IX, 338 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: SPRINGER LONDON
Colecția Springer
Seria Perspectives in Neural Computing
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Section 1 - Invited Paper.- Latent Variables, Topographic Mappings and Data Visualization.- Section 2 - Review Papers.- Fuzzy Neural Networks for Pattern Recognition.- A Unifying View of Gradient Calculations and Learning for Locally Recurrent Neural Networks.- Section 3 - Eduardo R. Caianiello Lecture.- Employment of a Progressive Learning Neural Network for Identification and Control.- Section 4 - Mathematical Models.- What Size Needs Testing?.- Entropy Based Comparison of Neural Networks for Classification.- A Hebbian Model for Space Representation.- Sequences of Discrete Hopfield’s Networks for the Maximum Clique Problem.- Rates of Approximation of Multivariable Functions by One-Hidden-Layer Neural Networks.- Energy Functional and Fixed Points of a Neural Network.- A Distribution-Free VC-Dimension-Based Performance Bound.- Attractor Neural Networks as Models of Semantic Memory.- Section 5 - Pattern Recognition and Robotics.- Image Reconstruction Using a Hierarchical RBF Network Architecture.- Word Recognition by MLP-Based Character Spotting and Dynamic Programming.- Video Data Compression Using Multilayer Perceptrons.- Speeding Up Neural Network Execution: An Application to Speech Recognition.- Periodicity Analysis of Unevenly Spaced Data by Means of Neural Networks.- Computational Maps for Articulatory Speech Synthesis.- A Neural Solution for a Mobile Robot Navigation into Unknown Indoor Environments Using Visual Landmarks.- Section 6 - Applications.- An Application of the Bootstrap 632+ Rule to Ecological Data.- Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?.- MAIA Neural Network: An Application to the Railway Anti-Skating System.- On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility.-Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments.- Self-Organization with a Large Medical Databases Using GTM for Prediction and Clustering.- Icarus Platform: Software Integration of Several Intelligent Systems.- Section 7 - Architectures and Algorithms.- Plastic Tabu Search for Training Multilayer Perceptrons.- Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation.- EM Algorithm: A Neural Network View.- HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip.- Interval Arithmetic Perceptron with Pruning Capability.- Hidden Recursive Models.- Geometrical Constructive Algorithms of Binary Neural Networks.- On the Adaptable Boolean Neural Net Paradigm.- Cluster Connections: A Visualization Technique to Reveal Cluster Boundaries in Self-Organizing Maps.- Discriminative Least Squares Learning for Fast Adaptive Neural Equalization.- Author Index.