𝔖 Bobbio Scriptorium
✦   LIBER   ✦

IPMU '92 — Advanced methods in artificial intelligence

✍ Scribed by Herbert Toth

Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
90 KB
Volume
62
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Artificial intelligence methods in quant
Artificial intelligence methods in quantitative electroencephalogram analysis
✍ V. Jagannathan; J.R. Bourne; B.H. Jansen; J.W. Ward 📂 Article 📅 1982 🏛 Elsevier Science ⚖ 908 KB

A set of programs designed to implement artificial-intelligence-related concepts in quantitative electroencephalogram anabsis are described. The programs use rule-based logic with top down parsing (backward chaining) to evaluate EEG data. A simple implementation of fuzzy logic in premise clauses of

Artificial intelligence methods in break
Artificial intelligence methods in breakwater damage ratio estimation
✍ O. Yagci; D.E. Mercan; H.K. Cigizoglu; M.S. Kabdasli 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 204 KB

The anticipation of damage ratio with an acceptable accuracy is a vital issue in breakwater design. The presented study covers the employment of three different artificial neural network methods and a fuzzy model for this problem. Inputs like mean wave period, wave steepness, significant wave height

New reasoning methods for artificial int
New reasoning methods for artificial intelligence in medicine
✍ Benjamin Kuipers 📂 Article 📅 1987 🏛 Elsevier Science ⚖ 615 KB

The discovery and validation of knowledge representations for new types of reasoning is a vital step in artificial intelligence (AI) research. A clear example of this process arises in our recent study of expert physicians' knowledge of the physiological mechanisms of the body. First, we observed th

Reasoning methods in medical consultatio
Reasoning methods in medical consultation systems: Artificial intelligence approaches
✍ Edward H Shortliffe 📂 Article 📅 1984 🏛 Elsevier Science ⚖ 630 KB

It has been argued that the problem of medical diagnosis is fundamentally ill-structured, particularly during the early stages when the number of possible explanations for presenting complaints can be immense. This paper discusses the process of clinical hypothesis evocation, contrasts it with the s

Advances in artificial neural networks,
Advances in artificial neural networks, machine learning, and computational intelligence
✍ J.A. Lee; F.-M. Schleif; Thomas Martinetz 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 74 KB

This special issue of Neurocomputing presents 15 original articles that are extended versions of selected papers from the 18th European Symposium on Artificial Neural Networks (ESANN), a major event for researchers in the fields of artificial neural networks, machine learning, computational intellig