Advances in Artificial Intelligence Systems

V. Rajinikanth, K. Kamalanand (Herausgeber)

Buch | Softcover

138 Seiten

2019
Nova Science Publishers Inc (Verlag)
978-1-5361-5484-9 (ISBN)

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This book will help in fast decision making and solving complex real-world problems. In recent years, the fields of artificial intelligence along with nanotechnology, robotics and 3D printing have been referred to as the technologies of the future which will help mankind move towards a time of self-sustainability and development even in resource limited environments. Systems which mimic cognitive functions such as learning and problem solving, are referred to as intelligent systems. Such systems have the capability to 'think' and 'act' in times when expert procedures are required in real world scenarios. In recent years, the field of artificial intelligence has given rise to several branches such as swarm intelligence, machine learning and deep learning algorithms. Swarm intelligence systems mimic the intelligent behaviors of a group or a colony of organisms such as a swarm of bees or a school of fish, in which the individuals of the group collectively work together to reach a common goal. Recent artificial intelligence approaches such as deep learning techniques and swarm intelligence algorithms have been proved to be useful in the development of intelligent systems in a variety of fields such as medical and biological systems, process control, etc. This book discusses few applications of computational intelligence algorithms such as social group optimization, convolutional neural networks, firefly algorithm and non-dominated sorting in genetic algorithms. The purpose of this book is to bring multidisciplinary researchers together to discuss state-of-art applications of artificial intelligence.

Department of Electronics and Instrumentation Engg., St. Josephs College of Engineering, Chennai, India Assistant Professor, Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, India

PrefaceRGB Image Multi-Thresholding with Otsu and Social-Group-OptimizationClassification of SPECT Images for Parkinsons Disease Using Convolutional Neural Network and Evaluation Based on Learning AlgorithmsRetinal Optic Disc and Blood Vessel Examination Using Firefly AlgorithmInspection of Dermoscopy Images Using Kapurs Entropy and Watershed SegmentationDesign of Observer based Multi-Objective State Feedback Controller for MIMO SystemFactors to be Considered in Designing Heuristic Algorithm Based PI/PID ControllersIndex.

Erscheinungsdatum	26.06.2019
Verlagsort	New York
Sprache	englisch
Maße	155 x 230 mm
Gewicht	202 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-5361-5484-9 / 1536154849
ISBN-13	978-1-5361-5484-9 / 9781536154849
Zustand	Neuware