Artificial IntelligenceThe breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference. |
Dentro del libro
Resultados 1-3 de 31
Página 504
The weights connected to the output units can be adjusted in order to reduce
those errors . We can then use the error estimates of the output units to derive
error estimates for the units in the hidden layers . Finally , errors are propagated
back ...
The weights connected to the output units can be adjusted in order to reduce
those errors . We can then use the error estimates of the output units to derive
error estimates for the units in the hidden layers . Finally , errors are propagated
back ...
Página 513
Algorithm : Competitive Learning Given : A network consisting of n binary -
valued input units directly connected to any number of output units . Produce : A
set of weights such that the output units become active according to some natural
...
Algorithm : Competitive Learning Given : A network consisting of n binary -
valued input units directly connected to any number of output units . Produce : A
set of weights such that the output units become active according to some natural
...
Página 521
How can we accomplish the same task with neuronlike units ? The localist
approach is to maintain an array of sixty - four units , one unit for every possible
location ( see Figure 18 . 24 ) . A more efficient approach would be to use a group
of ...
How can we accomplish the same task with neuronlike units ? The localist
approach is to maintain an array of sixty - four units , one unit for every possible
location ( see Figure 18 . 24 ) . A more efficient approach would be to use a group
of ...
Comentarios de la gente - Escribir un comentario
No encontramos ningún comentario en los lugares habituales.
Contenido
8 | 231 |
Expert Systems | 233 |
Weak SlotandFiller Structures | 251 |
Derechos de autor | |
Otras 16 secciones no mostradas
Otras ediciones - Ver todas
Términos y frases comunes
actions active addition agents algorithm allow answer applied approach attributes becomes belief block build called Chapter choose combined complete concept consider constraints contains corresponding define dependency described discussed domain efficient elements example fact Figure frame function given goal heuristic important inheritance initial input instance interpretation John kinds knowledge knowledge base labeled language learning logic look match meaning methods move natural necessary node object occur operators output particular path perform position possible preconditions predicate problem procedure produce properties question reasoning relation represent representation result rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific step stored structure Suppose task techniques things tree true understanding units weights
Información bibliográfica
| Título | Artificial Intelligence Artificial Intelligence Series Mac Graw-Hill series in artificial inteligence |
| Autores | Elaine Rich, Kevin Knight, Knight Kevin |
| Edición | 2, ilustrada |
| Editor | McGraw-Hill, 1991 |
| ISBN | 0070522634, 9780070522633 |
| Largo | 621 páginas |
| Exportar cita | BiBTeX EndNote RefMan |