University of California, Berkeley:

A Study on Failure Prediction in a Plasma Reactor

Prediction of Formation Damage During Fluid Injection into Fractured Low Permeability Reservoirs via Neural Networks

Integration of Connectionist Methods and Chaotic Time-Series Analysis for the Prediction of Process Data

Dynamic Origin/Destination Estimation Using True Section Densities

A Planning Methodology for Intelligent Urban Transportation Systems

State of the Research Annual Report Fiscal Year 1999 / 2000

SYLLABLE DETECTION AND SEGMENTATION USING TEMPORAL FLOWNEURAL NETWORKS

Neural Networks for Field-Wise Waterflood Management in Low Permeability, Fractured Oil Reservoirs

A C O U S T I C C H A N G E D E T E C T I O N A N D
C L U S T E R I N G O N B R O A D C A S T N E W S

Institute for Information Technology National Research Council Canada:

How to Shift Bias: Lessons from the Baldwin Effect

Los Alamos National Laboratory:

Machines That Learn adaptive computation with neural networks

ADAPTIVE MODEL PREDICTIVE PROCESS CONTROL USING NEURAL NETWORKS

Phillip Stroud Papers:

SIMULATION-BASED LEARNING IN KNOWLEDGE-BASED CONTROLLERS

A Recursive Exponential Filter For Time-Sensitive Data

Learning and Adaptation in an Airborne Laser Fire Controller

Adaptive Simulated Pilot

Kalman extension of the genetic algorithm

Fast and Accurate Training of Multilayer Perseptrons Using an Extende Kalman Filter

Applications of Multilayer Perseptrons to Decouple Dynamical Behaviour of Robot Links

Parametric Least Squares Approximation Using Gamma Bases

A Neural Network Environment for Adaptive Inverse Control

A Markov Framework for the Simple Genetic Algorithm

The Gamma Model- A New Neural Model for Temporal Processing

Recent Advances to Nonlinear MACE Filters

A Nonlinear Extension of the MACE Filter

Experimental results using a nonlinear extension of the MACE filter

BLIND SOURCE SEPARATION BY LOCAL INTERACTION OF OUTPUT SIGNALS

An Interactive Learning Environment for Adaptive Systems Instruction

Noise reduction in state space using the Focused Gamma Neural Network

Generalized Feedforward Structures: A New Class of Adaptive Filters

THE GAMMA FILTER - A New Class of Adaptive IIR Filters with Restricted Feedback

Analysis of Short Term Memories for Neural Networks

Local Dynamic Modeling with Self-Organizing Maps and Applications to Nonlinear System Identification and
Control

Training Neural Networks With Additive Noise in The Desired Signal

ADAPTATION OF GENERALIZED FEEDFORWARD FILTERS WITH APPLICATIONS TO SPEECH

SYSTEM MODELING USING GENERALIZED LINEAR FEEDFORWARD NETWORKS

ANALOG IMPLEMENTATIONS OF LOCALLY RECURRENT ADAPTIVE FILTERS

NONLINEAR DYNAMIC MODELING WITH
ARTIFICIAL NEURAL NETWORKS

AN INFORMATION-THEORETIC PERSPECTIVE FOR LEARNING SYSTEMS WITH ENGINEERING APPLICATIONS

LOCAL DYNAMIC MODELING WITH SELF-ORGANIZING FEATURE MAP

Воронежский Государственный университет:

Курс лекций "Нейронные сети"

 

Autolanding Trajectory Design for X-34

Inertial-Optical Motion-Estimating Camera for Electronic Cinematography

A VISION AUGMENTED NAVIGATION SYSTEM FOR AN AUTONOMOUS HELICOPTER