Learning theory of neural networks for satellite data analysis

Neural Networks Learning Differential Data

Towards a practically applicable theory of learning curves in neural networks

A study of learning algorithms for continuous-time recurrent neural networks

Design of recurrent neural networks for dynamical robot control

Design of fault tolerant feedforward neural networks

Proceedings of ... International Joint Conference on Neural Networks

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

Analysis and planning of manipulation using the theory of polyhedral convex cones

Dynamic channel assignment and an application of neural networks in a cellular mobile communication system

Studies on performance analyses of protocols for ATM networks

Control methods for quality of service on ATM networks

Stellar speckle spectroscopy for high spatial resolution and its observational data analysis

A study on application of deductive database to analysis of genome data

Theory of eddy viscosity for two-dimensional inviscid barotropic fluid

Galois theory for noncommutative rings and actions of pointed Hopf algebras

Analysis of Stern-Gerlach experiment for the ferromagnetic clusters

Numerical analysis of nonlinear directional couplers for optical devices

Analysis of Gripsholm Questionnaires for Eastern Propaganda Objectives and Techniques

Data Supplement for "Range-wide selection of catchments for Pacific salmon conservation."

Cost-effectiveness analysis of mass screening for cervical cancer in Japan

A mathematical model of cardiovascular mechanics for diagnostic analysis and treatment of heart failure