Neural Networks
Springer Berlin (Verlag)
978-3-540-52255-3 (ISBN)
When are k-nearest neighbor and back propagation accurate for feasible sized sets of examples?.- Complexity theory of neural networks and classification problems.- Generalization performance of overtrained back-propagation networks.- Stability of the random neural network model.- Temporal pattern recognition using EBPS.- Markovian spatial properties of a random field describing a stochastic neural network: Sequential or parallel implementation?.- Chaos in neural networks.- The "moving targets" training algorithm.- Acceleration techniques for the backpropagation algorithm.- Rule-injection hints as a means of improving network performance and learning time.- Inversion in time.- Cellular neural networks: Dynamic properties and adaptive learning algorithm.- Improved simulated annealing, Boltzmann machine, and attributed graph matching.- Artificial dendritic learning.- A neural net model of human short-term memory development.- Large vocabulary speech recognition using neural-fuzzy and concept networks.- Speech feature extraction using neural networks.- Neural network based continuous speech recognition by combining self organizing feature maps and Hidden Markov Modeling.- Ultra-small implementation of a neural halftoning technique.- Application of self-organising networks to signal processing.- A study of neural network applications to signal processing.- Simulation machine and integrated implementation of neural networks.- VLSI implementation of an associative memory based on distributed storage of information.
| Erscheint lt. Verlag | 24.1.1990 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 279 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 417 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | backpropagation • Bildverarbeitung • Cognition • Hardcover, Softcover / Informatik, EDV/Datenkommunikation, Netzwerke • Hidden Markov Model • learning • Modeling • neural network • Neuronale Netze • proving • Siganlverarbeitung • Simulation • Speech processing • Speech Recognition • Sprachverarbeitung • Verkettung |
| ISBN-10 | 3-540-52255-7 / 3540522557 |
| ISBN-13 | 978-3-540-52255-3 / 9783540522553 |
| Zustand | Neuware |
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