Decision Manifolds: Classification Inspired by Self-Organization

Multiple point of self-transverse immesions of certain manifolds

In this paper we will determine the multiple point manifolds of certain self-transverse immersions in Euclidean spaces. Following the triple points, these immersions have a double point self-intersection set which is the image of an immersion of a smooth 5-dimensional manifold, cobordant to Dold manifold $V^5$ or a boundary. We will show there is an immersion of $S^7times P^2$ in $mathbb{R}^{1...

Exclusionary Decision Making in Tehran Metropolitan Region- Complexity, Self organization and Power of Action

Viewing urban areas as webs of complex, interwoven networks, this article aims to analyze the decision-making process and its outcomes in Tehran metropolitan region. To do so, first the theoretical basis of complexity in urban life and its implications for planning have been reviewed. Using the main notion of power of action i.e. agency, and through creating the network of actors and their rela...

Dynamic self-organised neural network inspired by the immune algorithm for financial time series prediction and medical data classification

Negative Selection Based Data Classification with Flexible Boundaries

One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...

Low dimensional flat manifolds with some classes of Finsler metric

Flat Riemannian manifolds are (up to isometry) quotient spaces of the Euclidean space R^n over a Bieberbach group and there are an exact classification of of them in 2 and 3 dimensions. In this paper, two classes of flat Finslerian manifolds are stuided and classified in dimensions 2 and 3.