artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. this paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. for this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. the sugg...

Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...

This paper introduces the QMDP-net, a neural network architecture for planning under partial observability. The QMDP-net combines the strengths of model-free learning and model-based planning. It is a recurrent policy network, but it represents a policy for a parameterized set of tasks by connecting a model with a planning algorithm that solves the model, thus embedding the solution structure o...

A brand new ball game: Bayes net and neural net learning mechanisms in young children.

Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on it, this paper proposes an adaptive e-Learning in China Knowledge Grid environment (CKG-AL for short), which supports the learner-centered, highly interactive and on-demand eLearning with dynamic courseware construction. By incorporating ontology-based metadata for know...

Textbooks play a crucial role in English language teaching and learning. One of the methods for selecting the most appropriate textbook for a particular educational purpose is comparing two or several similar textbooks with each other. Textbook evaluation can provide useful information about the strengths and weaknesses of textbooks and can lead to the selection of the most suitable materials f...

There exist a number of negative results ([J), [BR), [KV]) about learning on neural nets in Valiant's model [V) for probably approximately correct learning ("PAC-learning"). These negative results are based on an asymptotic analysis where one lets the number of nodes in the neural net go to infinit.y. Hence this analysis is less adequate for the investigation of learning on a small fixed neural...

In Adaptive Educational Hypermedia Systems (AEHS), we expect that the learning content presentation should be appropriately retrieved from learning object repositories, and dynamically tailored to each learner’s needs. Each learner has a profile, subject to continuous change. The basic components of the learner’s profile include his/her cognitive characteristics, background of knowledge, previo...

The go-playing program Honte is described. It uses neural nets together with more conventional AI-methods like alpha-beta search. A neural net is trained by supervised learning to imitate local shapes made in a database of expert games. A second net is trained to estimate the safety of groups by self play using TD(λ)learning. A third net is trained to estimate territorial potential of unoccupie...

Traditional education is developed by building up connections between specific ideas and related skills through repeated practice and positive reinforcement. All that has no sense in virtual learning environments because the new information and communication technologies. NICT, have induced a new space concept in society and a new dimension space for the culture. Thus the traditional learning e...