FoundationsMIT Press, 1989 - 547 páginas Band 1. |
Contenido
The Appeal of Parallel Distributed Processing | 3 |
Schemata and Sequential Thought Processes in PDP Models | 7 |
A General Framework for Parallel Distributed Processing | 45 |
Distributed Representations 77 17 | 77 |
PDP Models and General Issues in Cognitive Science | 110 |
BASIC MECHANISMS | 147 |
Assigning Roles | 272 |
Learning Internal Representations by Error Propagation | 318 |
BIOLOGICAL MECHANISMS | 327 |
FORMAL ANALYSES | 363 |
References | 507 |
517 | |
529 | |
Términos y frases comunes
activation function activation value algorithm analysis annealing assume behavior binary Boltzmann machine brain Chapter cluster Cognitive Science cognitive system competitive learning components computational connections constraints corresponding delta rule described detectors discussed distributed representations eigenvectors encode environment Equation error example given gradient descent grapheme harmony function harmony theory hidden units Hinton implement inhibitory inner product input patterns input units input vectors interactions knowledge atoms large number layer learning procedure learning rule letter linearly linearly independent mapping mathematical McClelland Minsky multiplication nodes output patterns output units pairs parallel distributed processing particular pattern of activation PDP models perception perceptron performance possible presented probability distribution problem properties random represent respond result Rumelhart scalar schemata scheme sememe shown in Figure shows simple simulation solve specific statistical stimulus patterns stochastic strengths structure temperature Theorem tion v₁ variables vector space weight vector word zero