The chapters in this volume are an indication of the vigour and strength of the subject of neural networks in solving hard problems. They also indicate how the subject is giving new insights and developing new relationships to previous branches of information technology. Included are papers describing the applications of neural networks in automotive and aerospace industries, in problems of digital data transmission, on the estimation of helicopter strain and on pattern analysis in clinical psychiatry. There are also several papers on the applications of neural networks to finance.
The chapters in this volume are an indication of the vigour and strength of the subject of neural networks in solving hard problems. They also indicat...
Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the 'targets'), by which, ideally, the network learns the conditional mean of the target given the input. If the underlying conditional distribution is Gaus sian or at least unimodal, this may be a...
Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard obj...
A comprehensive overview of neural network research, based on the findings of the Database for European Artificial Neural Network Activity (DEANNA) Project. The aims of the project were to pinpoint the main problems of technology transfer and to create a European neural network advisory structure.
A comprehensive overview of neural network research, based on the findings of the Database for European Artificial Neural Network Activity (DEANNA) Pr...
A fundamental objective of Artificial Intelligence (AI) is the creation of in telligent computer programs. In more modest terms AI is simply con cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide...
A fundamental objective of Artificial Intelligence (AI) is the creation of in telligent computer programs. In more modest terms AI is simply con cerne...
