IJCNN (International Joint Conference on Neural Networks), 05/06/08, Hong Kong A. Bondu, V. Lemaire Résumé : Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robotics aims to design computational systems that are endowed with such an intrinsic motivation mechanism. There are possible links between developmental robotics and …

## Neural networks (Computer science)

The general scientific community at the time was skeptical of Bain's[3] theory because. Neural network research slowed until computers achieved greater. Neural networks are used to model complex relationships between inputs and. Analog computation via neural networks, Theoretical Computer Science, v.

## Image Recognition Using Neural Networks Java

Recently I investigated possibility of using free acoustic model for Russian language. Previously I started using English VoxForge model. It was really fine. Adaptation or additional training of model were not required to get initial result. I expected something similar for Russian. Noway. I made simplest test with JSGF grammars. Such way I avoid influence of language model which is more complex for Russian then for English. Accuracy of original Russian …

## Processing Neural Networks

Artificial intelligence, cognitive modelling, and neural networks are information processing paradigms inspired by the way biological neural systems process. I've been working on some Neural Network Processing/Java examples. I recently built a simple multi-layered network, two inputs, one hidden layer.

## Factor Analysis Neural Networks

The principal aim of this study is to determine the impact of total quality management (TQM) on organizational performance of SMEs. Based on theoretical considerations, a model is proposed linking the TQM constructs to the organizational performance construct. Exploratory and confirmatory factor analyses empirically verified and validated the underlying dimensions of MO, TQM and organizational performance. Neural networks were employed to test the …

## Deep belief networks Andrew NG

Here [3] parametric, e.g. LR v.s. non-parametric, e.g. locally weighted liner regression (KD-trees) MLE -> maximizing likelihood is equal to minimizing Mean Square Root. logistic regression [4] newton’s method, Hessian operation generalized linear model(GLM), exponential family [5] discriminative v.s. generative. GDA(stronger data assumption than logistic (whole exponential family), Naive Bayes, Laplace smoothing P(sum rise []