Towards a practically applicable theory of learning curves in neural networks
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Learning theory of neural networks for satellite data analysis
Neural Networks Learning Differential Data
A study of learning algorithms for continuous-time recurrent neural networks
Design of fault tolerant feedforward neural networks
Towards a field theory of open bosonic strings : a perturbative approach
Dynamic channel assignment and an application of neural networks in a cellular mobile communication system
Proceedings of ... International Joint Conference on Neural Networks
Design of recurrent neural networks for dynamical robot control
Neural networks that learn symbolic and structured representation of information
Identification and control of nonlinear vehicle dynamics using neural networks
Properties of associative memory neural networks concerning biological information encoding
Studies of oscillator neural networks modeling the time correlation of neuronal spikes
Evolution of code and communication in dynamical networks

RESISTANCE TO SHIPS IN ROLLING CURVES OF EXTINCTION
Markedness theory and the interpretation of literature : a case study in Japanese literature
A study on host mobility in wide area computer networks
Theory of electron-phonon interaction in semiconductor superlattices
Theory of Macroscopic Quantum Dynamics of a Magnetic Domain Wall

Constant Curves of elemnts of form for model of a light cruiser
A relaxation theory of strongly coupled quantum dissipative systems
Neural mechanisms underlying the action of primer pheromones in mice
Studies of control and dimensioning in asynchronous transfer mode networks
Personal investment in L2 task design and learning: a case study of two Japanese learners of Engli...
Gyrokinetic theory of micro-instabilities in negative shear tokamaks
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Uploaded: 2020-12-17