Titlebook: Neural Nets WIRN VIETRI-96; Proceedings of the 8 Maria Marinaro,Roberto Tagliaferri Conference proceedings 1997 Springer-Verlag London Limi

Kinetic

Neural Nets WIRN VIETRI-96978-1-4471-0951-8Series ISSN 1431-6854

姑姑在炫耀

KIN

Albumin

充氣球

A New Incremental Learning TechniqueWe present a new type of constructive algorithm for incremental learning. The algorithm overcomes many of the problems associated with standard back propagation such as speed and optimum network size. We investigate the ability of the network to learn and test the resulting generalisation of the network.

Aspirin

Proof of the Universal Approximation of a Set of Fuzzy functionsIn the last few years neuro-fuzzy systems have been investigated by many researchers [2,3]..The possibility of combine linguistics and numerical knowledges make those models very attractive.

摘要記錄

Classification of Structures by Recurrent Neural NetworksWe introduce neural networks for the classification of structures, LRAAM-based networks, Cascade-Correlation Networks, and Neural Trees for structures are presented. We show how to compute the gradient for these networks. Moreover, we report some results on the computational power of these models.

溫室

Lethargic

https://doi.org/10.1007/978-1-4471-0951-8algorithms; cognition; fuzzy system; neural networks; pattern; pattern recognition; virtual reality; comple

Pseudoephedrine