A Holistic Review of Soft Computing Techniques

Abstract

Due to notable technological convergence that brought about exponential growth in computer world, SoftComputing (SC) has played a vital role with automation capability features to new levels of complex applications. In this research paper, the authors reviewed journals related to the subject matter with the aim of striking a convincing balance between a system that is capable of tolerance to uncertainty, imprecision, approximate reasoning and partial truth to achieve tractability, robustness, economy of communication, high machine intelligence quotient (MIQ), low cost solution and better rapport with reality to conventional techniques. This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems. The mechanisms highlighted can serve as an inspiration platform and awareness to new and old researchers that are not or fully grounded in this unique area of research and to create avenue in order to fully embrace the techniques in research communities.

Comparative Analysis and Investigations of Various SVM Kernels Using Cellular Network KPI Data

“…This involves collection and selection of data over a period of 12 Since, the performance of various kernels of SVM is highly influenced by the size of the datasets and the datapreprocessing techniques employed for training and optimization, the work employed data normalization process of Z-score at the input function and Sigmoid for output function techniques to encourage high quality, reliable, accuracy and less computational cost associated to the learning phase.…”

“…Artificial Intelligence (AI) is a technique that is known to be applied to solve complex and ill-defined problems in which soft computing, computational intelligence and granular computing form some of the major offshoot [12]. The machine learning feature of Support Vector Machine (SVM) which handles predictive modeling through statistical technique and analyzing historical data was developed to compare various kernel variants on telecommunication data [4].…”

Identifikasi Kerusakan PC (Personal Computer) dengan Metode Teorema Bayes Pada Laboratorium Komputer STMIK Triguna Dharma

“…Komputer atau disebut PC terdiri dari dua bagian penting yaitu Perangkat keras (Hardware) dan Perangkat Lunak (Software), bagian pertama adalah Hardware komputer berupa alat yang dapat di lihat dan di pegang seperti: monitor, keyboard, mouse, printer, CPU (Central Processing Unit) dan semua perangkat didalamnya [1]. Kecerdasan buatan atau Artificial Intelligence merupakan salah satu bagian ilmu komputer yang membuat agar mesin (komputer) dapat melakukan pekerjaan seperti dan sebaik yang dilakukan oleh manusia [2]. Sistem pakar adalah sistem berbasis komputer yang menggunakan pengetahuan, fakta, dan teknik penalaran dalam memecahkan masalah yang hanya dapat dipecahkan oleh seorang pakar dalam bidangnya [3].…”

A Competent and Novel Approach of Designing an Intelligent Image Retrieval System

“…First is it provides the acceptable solution of the complex problem according to the human perception and second these techniques are able to solve the non-linear problems. The comparison between all the three constituents of SC techniques is also done in this paper [27].…”