NDLI: Profiting from innovation

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

The 2011 International Joint Conference on Neural Networks

The 2010 International Joint Conference on Neural Networks (IJCNN)

2009 International Joint Conference on Neural Networks

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

2007 International Joint Conference on Neural Networks

The 2006 IEEE International Joint Conference on Neural Network Proceedings

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

Volume 4 - 1992

Self-generating neural networks

An unsupervised learning algorithm for character recognition

A net for automatic detection of minimal correlation order in contextual pattern recognition

A model of formal neural networks for unsupervised learning of binary temporal sequences

Autogenerative nodal memory model (ANM)-an analysis of growth metrics

Unsupervised splitting rules for neural tree classifiers

Dystal: a self-organizing ANN with pattern independent training time

Correlation matrices and the construction of successful network recodings

A self-organizing neural network for multidimensional approximation

Unsupervised and supervised data clustering with competitive neural networks

Complex Boltzmann networks and one stage learning

Clustering with competing self-organizing maps

Self-generating neural networks

Learning in competitive networks with penalties

Recurrent competitive Hebbian learning

A generalized placement algorithm based on self-organization neural network

Two theorems for the Kohonen mapping neural network

On the training strategies of neural networks for speech recognition

Real-time Chinese syllable recognition system with hierarchically structured neural network and transputer system

Speech recognition using dynamic neural networks

Automatic speech segmentation using neural network and phonetic transcription

Improving temporal representation in TDNN structure for phoneme recognition

Neural network development for noise reduction in robust speech recognition

Dynamic time warping using an artificial neural network

Joint optimization of classifier and feature space in speech recognition

An empirical risk optimizer for speech recognition

Feature selection for improved classification

A neural network approach to large dimensional spectral pattern processing

Discriminative training algorithm for predictive neural network models

Text-independent speaker identification using binary-pair partitioned neural networks

Formant estimation from cepstral coefficients using a feedforward memoryless neural network

Neural networks for feature computations in automatic speech recognition

Sentence processing with realistic feedback

Modeling of chaotic dynamics in the biological system and application to speech recognition

A neural network for synthesizing the pitch of an acoustic source

A hybrid neural-fuzzy-neural framework for speech recognition

Recognition of Japanese words by neural networks using vocal tract area

System optimization with artificial neural networks: parallel implementation using transputers

Hopfield-type neural networks with fuzzy sets to gather the convergent speed

Genetic breeding of control parameters for the Hopfield/Tank neural net

Reducing linear redundancy in neural networks

Sub-optimal solution screening in optimization by neural networks

A new approach to global optimization and its applications to neural networks

Optimization of neural network topology and information content using Boltzmann methods

A neural based approach of constraints satisfaction problem

Multiprocessor scheduling by mean field theory

Why tanh: choosing a sigmoidal function

Two dimensional nesting problem: artificial neural network and optimization approach

Dynamical stability and parameter selection in neural optimization

Analyses of the genetic algorithms in the continuous space

Data-parallel training of spatiotemporal connectionist networks on the Connection Machine

Regression analysis of spectroscopic process data using a combined architecture of linear and nonlinear artificial neural networks

An optimized filter architecture incorporating a neural net

Genetically generated neural networks-I: representational effects

Parallel mean field annealing neural network for solving traveling salesman problem

Convergence and stability study of Hopfield's neural network for linear programming

Neural net model of batch processes and optimization based on an extended genetic algorithm

Optimizing neural networks for playing tic-tac-toe

Optimization methodology of ANN backpropagation nets

High-order attention-shifting networks for relational structure matching

Analysis of learning recurrent neural networks: connective stability and equilibrium manifold

Exponential stability of additive neural networks

Weight-space probability densities and convergence times for stochastic learning

Proposal of fully complex-valued neural networks

A neural pattern generator that exhibits frequency-dependent in-phase and anti-phase oscillations

Recurrent refractory neural field

Fixed point analysis for discrete-time recurrent neural networks

Estimation of oscillation frequency in coupled cell assemblies

Learning of continuously transformed pattern cycles by an oscillatory neural network

Neurodynamical model of collective brain

A neural network model of spatio-temporal pattern recognition, recall, and timing

The N-N-N conjecture in ART1

Learning probabilities for causal networks

A self-organizing neural network model for redundant sensory-motor control, motor equivalence, and tool use

Hierarchical clustering using deterministic annealing

Feature discovery under contextual supervision using mutual information

A simple visual perception model by adaptive junction

Modeling neural growth and selective stabilization

Biologically-based neural network model of color constancy and color contrast

Learning visual coordinate transformations with competition

A neural network model of object segmentation and feature binding in visual cortex

Modeling human visual object recognition

Object recognition based on projection

Extrapolation limitations of multilayer feedforward neural networks

Method of deciding ANNs parameters for pattern recognition

Parameters rules of the Hopfield/Tank model on solving TSP

Back propagation and forward propagation

An estimation of parameters in an energy function used in a simulated annealing method

An approach to automatic test pattern generation using strictly digital neural networks

Artificial neural networks for distributed adaptive routing on dynamic topology networks

Hopfield neural networks control for optimal solutions

Neural network error correction for solving coupled ordinary differential equations

A neural computational scheme for extracting optical flow from the Gabor phase differences of successive images

Complementary aspects of topological maps and time delay neural networks for character recognition

Multiresolution edge detection

Learning 3D-shape perception with local linear maps

Real-time 2D analog motion detector VLSI circuit

Artificial neural networks for 3D nonrigid motion analysis

Processing of synthetic aperture radar images by the boundary contour system and feature contour system

Feature discovery via neural networks for object recognition in SAR imagery

Progressive image compression

Modeling neural network dynamics using iterative image reconstruction algorithms

Distinguishing line detection from texture segregation using a modular network-based model

Application of fuzzy neural networks to medical image processing

3-dimensional pattern recognition using weightless neural networks (Aleksander's model)

Neural networks in image pyramids

A recurrent neural network for image flow computation

A neural net model based on discrete Gabor transformation

Image segmentation using multilayer neural network

Sensitivity of ALIAS to small variations in the dimension of fractal images

Data compression for image recognition using neural network

An analog parallel-processing array for motion detection

Profiting from innovation

A genetic approach to the truck backer upper problem and the inter-twined spiral problem

Strategies and issues in applications of neural networks

Error correcting neural networks for channels with Gaussian noise

Dim target detection and clutter rejection using modified high order correlation neural network

Resolving the components of transient signals using neural network and subspace inhibition filter algorithms

On generalized adaptive neural filters

Neural coding of interaural time difference

A rapid learning orthonormal neural network for signal processing

Neural network architectures for median filtering

Training set-based performance measures for neural net hypothesis testing

A comparison between Kalman filters and recurrent neural networks

Training recurrent networks using the extended Kalman filter

Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map

Handwritten alpha-numeric recognition by a self-growing neural network 'CombNET-II'

Why error measures are sub-optimal for training neural network pattern classifiers

Implementing the minimum-misclassification-error energy function for target recognition

An efficient neural network architecture for recognition of spatial pattern invariants

A complex sequence recognition model

An adaptive algorithm for modifying hyperellipsoidal decision surfaces

Improved neocognitron with bend-detecting cells

Invariant object recognition via surface reconstruction neural networks

Hybrid systems-a key to intelligent pattern recognition

Simulated light sensitive model for handwritten digit recognition

A unified formalism for neural net training algorithms

A neural network system model for active perception and invariant recognition of grey-level images

Volume 3 - 1992

Volume 2 - 1992

Volume 1 - 1992

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

Profiting from innovation

Content Provider	IEEE Xplore Digital Library
Author	Guile, B.R.
Copyright Year	1992
Abstract	There are several types of commercialization process, each with its own pace, indicators of progress, organizational approaches, and risk factors. Understanding when each of these is under way, and the nature of the true challenges faced, is a major factor in consistently successful efforts. The work described here is drawn from a National Academy of Engineering (NAE) study of USA industrial commercialization: the translation of innovative ideas into marketplace success as profitable products, processes, and services. An important aspect of the NAE study was the search for useful tools to aid the management process. The best commercialization organization depends on the nature of the commercialization activity at hand. These observations place emphasis on the importance of the leadership of a company understanding the nature of the business at hand.
Starting Page	319
Ending Page	326
File Size	547047
Page Count	8
File Format	PDF
ISBN	0780305590
DOI	10.1109/IJCNN.1992.227323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technological innovation Commercialization Business Engineering management Books Service robots Superconductivity Pharmaceutical technology Investments Acceleration
Content Type	Text
Resource Type	Article

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