Effective Sonar Target Classification via Parallel Structure of Minimal Resource Allocation Network
نویسندگان
چکیده
In this paper, the processing of sonar signals has been carried out using Minimal Resource Allocation Network (MRAN) and a Probabilistic Neural Network (PNN) in differentiation of commonly encountered features in indoor environments. The stability-plasticity behaviors of both networks have been investigated. The experimental result shows that MRAN possesses lower network complexity but experiences higher plasticity than PNN. An enhanced version called parallel MRAN (pMRAN) is proposed to solve this problem and is proven to be stable in prediction and also outperformed the original MRAN. Keywords—Ultrasonic sensing, target classification, minimal resource allocation network (MRAN), probabilistic neural network (PNN), stability-plasticity dilemma.
منابع مشابه
Microsoft Word - CONTENTS-DECEMBER06
In this paper, the processing of sonar signals has been carried out using Minimal Resource Allocation Network (MRAN) and a Probabilistic Neural Network (PNN) in differentiation of commonly encountered features in indoor environments. The stability-plasticity behaviors of both networks have been investigated. The experimental result shows that MRAN possesses lower network complexity but experien...
متن کاملConstrained consumable resource allocation in alternative stochastic networks via multi-objective decision making
Many real projects complete through the realization of one and only one path of various possible network paths. Here, these networks are called alternative stochastic networks (ASNs). It is supposed that the nodes of considered network are probabilistic with exclusive-or receiver and exclusive-or emitter. First, an analytical approach is proposed to simplify the structure of t...
متن کاملProvide a New Targeting Model in a Centralized Decision Making Environment with a Multi-Component Network Structure
This research seeks to develop resource and goals allocation planning models in a focused decision-making environment with a parallel multi-component network structure in a case study. In such an environment, the problem of resource and goals allocation planning, the determination of the input and output of each of the decision-making units in achieving the goals of the system is such that the ...
متن کاملResource re-allocation at network units by using of bi-level data envelopment analysis
The lack of renewable primary resources is one of the most serious challenges in recent decades. So under this circumstance, managers are looking for appropriate solutions for the optimal use of these resources to improve the efficiency of the under management units. One of the most widely used techniques in finding the optimal resource is data envelopment analysis (DEA). So in this paper, in ...
متن کاملA Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification
Meta-heuristic Algorithms (MA) are widely accepted as excellent ways to solve a variety of optimization problems in recent decades. Grey Wolf Optimization (GWO) is a novel Meta-heuristic Algorithm (MA) that has been generated a great deal of research interest due to its advantages such as simple implementation and powerful exploitation. This study proposes a novel GWO-based MA and two extra fea...
متن کامل