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Re vista Informatica Economic NR. 1(45)/2008 71 A Conexionist Intelligent System for Accounting Florin APARASCHIVEI Faculty of Economics and Business Administration, A.I. Cuba” University, IAI Neural

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What is a conexionist intelligent system?

A conexionist intelligent system is a type of artificial intelligence system that is designed based on the principles of conexionism, a theoretical framework in cognitive science. It consists of a network of interconnected nodes, or artificial neurons, that are capable of learning and making decisions based on input data.

Who is required to file a conexionist intelligent system?

There is no specific requirement for individuals or organizations to file a conexionist intelligent system. It is a type of artificial intelligence system that can be developed and used by researchers, developers, or organizations for various purposes.

How to fill out a conexionist intelligent system?

Filling out a conexionist intelligent system involves designing and training the neural network architecture, collecting and preprocessing input data, and implementing the necessary algorithms for learning and decision-making. It requires expertise in neural networks, machine learning, and programming.

What is the purpose of a conexionist intelligent system?

The purpose of a conexionist intelligent system is to solve complex problems by simulating the behavior of interconnected nodes or artificial neurons. It can be used for tasks such as pattern recognition, data classification, prediction, and decision-making in various fields including finance, healthcare, and robotics.

What information must be reported on a conexionist intelligent system?

The information to be reported on a conexionist intelligent system depends on the specific application and requirements. It may include details about the neural network architecture, training data, performance metrics, and any specific parameters or algorithms used during the development and training process.

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