A-Brain: the multiple problems solver

Mihai Oltean
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Abstract

Intelligence is strongly related to the ability of solving different problems by a single system. General problems solvers such as Artificial Neural Networks, Evolutionary Algorithms, Particle Swarm etc, have traditionally been tested against one problem at one time. The purpose of this research is to build a complex and adaptive system able to solve multiple (and different) problems. The proposed system, called A-Brain, consists of several connected components (a Decision Maker, a Trainer and several Problem Solvers) which provide a base for building complex problem solvers. The A-Brain system is applied for solving some well-known problems in the field of symbolic regression. Numerical experiments show that A-Brain system is able to perform very well on the considered test problems.
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A-Brain:多重问题的解决者
智能与通过单一系统解决不同问题的能力密切相关。一般的问题解决方案,如人工神经网络、进化算法、粒子群等,传统上都是一次针对一个问题进行测试。本研究的目的是建立一个能够解决多个(和不同)问题的复杂和自适应系统。这个被提议的系统被称为a - brain,由几个相互连接的组件(一个决策者、一个培训师和几个问题解决者)组成,为构建复杂问题解决者提供了一个基础。A-Brain系统用于解决符号回归领域的一些著名问题。数值实验表明,A-Brain系统能够很好地解决所考虑的测试问题。
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