During the past decade expert systems have become the first practical application of artificial intelligence. However, many expert system applications are rule-based systems, which require a time consuming and difficult knowledge acquisition process to extract expertise from domain experts[1,2,3]. Neurocomputing is the application of artificial neural networks to practical problems. An artificial neural network consists of processing elements (which is analogous to neurons in the biological neural system) in an interconnected network[4-11]. A processing element accepts inputs, processes these inputs, and sends a single output to other processing elements. A neural network application is built by using real-world problem-solving examples in ...
This thesis aims to understand how to design high performance, flexible and cost effective neural co...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown ...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown...
Neurocomputing, an evolving discipline of science and technology which involves the study and use of...
Artificial neural net (ANN) models, or neural networks, connectionist models, parallel distributed p...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
An Artificial Neural Network (ANN) is an information processing model that is encouraged by the way ...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
A neuron network is a computational model based on structure and functions of biological neural netw...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Abstract. This article is the summary of a set of Russian scientists ’ works, published in the monog...
The long course of evolution has given the human brain many desirable characteristics not present in...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
The basic idea behind a neural processor is to simulate lots of densely interconnected artificial ne...
This thesis aims to understand how to design high performance, flexible and cost effective neural co...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown ...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown...
Neurocomputing, an evolving discipline of science and technology which involves the study and use of...
Artificial neural net (ANN) models, or neural networks, connectionist models, parallel distributed p...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
An Artificial Neural Network (ANN) is an information processing model that is encouraged by the way ...
Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way bi...
A neuron network is a computational model based on structure and functions of biological neural netw...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Abstract. This article is the summary of a set of Russian scientists ’ works, published in the monog...
The long course of evolution has given the human brain many desirable characteristics not present in...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
The basic idea behind a neural processor is to simulate lots of densely interconnected artificial ne...
This thesis aims to understand how to design high performance, flexible and cost effective neural co...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown ...
Artificial Neural Networks (ANN) are currently exploited in many scientific domains. They had shown...