Titlebook: New Trends in Neural Computation; International Worksh José Mira,Joan Cabestany,Alberto Prieto Conference proceedings 1993 Springer-Verlag

lumbar-puncture

书目名称New Trends in Neural Computation影响因子(影响力)




书目名称New Trends in Neural Computation影响因子(影响力)学科排名




书目名称New Trends in Neural Computation网络公开度




书目名称New Trends in Neural Computation网络公开度学科排名




书目名称New Trends in Neural Computation被引频次




书目名称New Trends in Neural Computation被引频次学科排名




书目名称New Trends in Neural Computation年度引用




书目名称New Trends in Neural Computation年度引用学科排名




书目名称New Trends in Neural Computation读者反馈




书目名称New Trends in Neural Computation读者反馈学科排名

set598

The pancreatic B-cell as a voltage-controlled oscillator,e glucose concentration. The effect of increased glucose concentrations is transduced in terms of modulation of frequency of the oscillations rather than in a sustained depolarization. We stress the analogies between this control system and a voltage-controlled oscillator fed by a comparator.

保全

Learning by reinforcement: A psychobiological model,ved phenomena in behaviorist experiments of operant and classical conditioning. The authors propose that an input-output map can be expressed as a combination of these phenomena, in the sense that the task of teaching a function is to make the network to adapt itself to verify a set of phenomena between its inputs and outputs.

Bumble

A high order neural model,g language running as a multi-elemental processor parallel computer. The system that is finally presented is a higher-ordered neural network with nonsupervised learning implemented in a multilayer structure.

Meditate

Higher-order networks for the optimization of block designs,is network is then used for the generation of some designs that are known to exist. For some designs the results are good, but for some others the system fails to find an optimal solution in a reasonable time. The problem is shown to be a good example to test the performance of optimizing neural networks.

Cognizance

Incompetent

0302-9743 ional computational machines haveencountered enormous difficulties in duplicatingsuchfunctionalities. This has given rise to the developmentofArtificial Neural Networks where computation is distributedover a great number of local processing elements with a highdegree of connectivityand in which exte

无瑕疵

Little

慎重