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TNN
1998
132views more  TNN 1998»
13 years 11 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
TNN
1998
96views more  TNN 1998»
13 years 11 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
TNN
1998
94views more  TNN 1998»
13 years 11 months ago
Global convergence of Oja's subspace algorithm for principal component extraction
—Oja’s principal subspace algorithm is a well-known and powerful technique for learning and tracking principal information in time series. A thorough investigation of the conve...
Tianping Chen, Yingbo Hua, Wei-Yong Yan
TNN
1998
114views more  TNN 1998»
13 years 11 months ago
A new approach to artificial neural networks
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
Benedito Dias Baptista F. Filho, Eduardo Lobo Lust...
TNN
1998
121views more  TNN 1998»
13 years 11 months ago
Detection of mines and minelike targets using principal component and neural-network methods
— This paper introduces a new system for real-time detection and classification of arbitrarily scattered surface-laid mines from multispectral imagery data of a minefield. The ...
Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, A. C. ...
TNN
1998
92views more  TNN 1998»
13 years 11 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
TNN
1998
123views more  TNN 1998»
13 years 11 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
TNN
1998
99views more  TNN 1998»
13 years 11 months ago
Comments on local minima free conditions in multilayer perceptrons
—In this letter we point out that multilayer neural networks (MLP’s) with either sigmoidal units or radial basis functions can be given a canonical form with positive interunit...
Marco Gori, Ah Chung Tsoi