000 01246nam a2200205 a 4500
003 AR-LpUFIB
005 20250311170302.0
008 230201s1990 xxua r 000 0 eng d
020 _a0201093553
024 8 _aDIF-M3100
_b3207
_zDIF003011
040 _aAR-LpUFIB
_bspa
_cAR-LpUFIB
100 1 _aHecht-Nielsen, Robert
245 1 0 _aNeurocomputing
250 _a1st ed.
260 _aUnited States :
_b ACM Press ; Addison Wesley,
_cc1990
300 _axiii, 433 p. :
_bil. ;
_c25 cm
505 0 _a 1.Introduction What's is neurocomputing?. -- 2. Neural network concepts, definitions, building blocks. -- 3. Learning laws : Self-adaption equations. -- 4. Asssociative networks : Data transformation structures. -- 5. Mapping networks : Multi-layer data transformation structures. -- 6. Spatiotemporal, stochastic, hierarchical networks : Frontiers of neurocomputing. -- 7. Neurosoftware : Descriptions of neural network structure. -- 8. Neurocomputing : Machines for implementing neural networks. -- 9. Neurocomputing applications : Sensor processing, control, data analysis. -- A. Neurocomputing projects : Developing new capabilities that succeed in the marketplace. -- Bibliography. -- Index.
650 4 _aREDES NEURONALES
942 _cBK
999 _c52866
_d52866