Mbo Updated
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Mbo Updated
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Author : Paul Mali
language : en
Publisher: Wiley-Interscience
Release Date : 1986
Mbo Updated written by Paul Mali and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Business & Economics categories.
Management development guide on management by objectives in the USA - reviews theory and recent trends in its application; discusses its use in strategic planning, goal setting and Motivation, problem solving, resource allocation, improvement of productivity and efficiency, performance appraisal, and evaluation; considers its application in Japan; includes case studies of five major USA corporations. Bibliography, diagrams, graphs, tables.
The New Art Of Managing People Updated And Revised
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Author : Tony Alessandra
language : en
Publisher: Simon and Schuster
Release Date : 2008-12-23
The New Art Of Managing People Updated And Revised written by Tony Alessandra and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-23 with Business & Economics categories.
When a manager establishes a friendly yet productive working atmosphere, the benefits to the whole organization are substantial. The Art of Managing People provides practical strategies, guidelines and techniques for * Developing the interpersonal skills necessary to improve relations with employees * Understanding the differences between people, and behaving accordingly * Assessing, and then improving, current working situations * Creating trust between managers and employees. Person-to-person skills are the key to developing an effective team of satisfied, energetic workers. Letting your workers express their own personalities and maximize their potentials will * Reduce stress within the work force, * Create a positive spirit throughout the company, and * Increase the organization's productivity and profitability.
Evolutionary Computation
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Author : Gai-Ge Wang
language : en
Publisher: MDPI
Release Date : 2019-11-28
Evolutionary Computation written by Gai-Ge Wang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Technology & Engineering categories.
Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism, imitate the behavior of the animal's group, mimic the characteristics of human thought, language, and memory processes, or mimic the physical phenomena of nature, hoping to simulate the wisdom of nature and humanity enables an optimal solution to the problem and solves an acceptable solution in an acceptable time. Computational intelligent algorithms have received extensive attention at home and abroad, and have become an important research direction of artificial intelligence and computer science. This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine learning
Advances In Natural Computation Fuzzy Systems And Knowledge Discovery
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Author : Yong Liu
language : en
Publisher: Springer Nature
Release Date : 2019-11-06
Advances In Natural Computation Fuzzy Systems And Knowledge Discovery written by Yong Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Technology & Engineering categories.
This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.
Advances In Swarm Intelligence
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Author : Ying Tan
language : en
Publisher: Springer
Release Date : 2018-06-15
Advances In Swarm Intelligence written by Ying Tan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-15 with Computers categories.
The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning.
Handbook Of Ai Based Metaheuristics
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Author : Anand J. Kulkarni
language : en
Publisher: CRC Press
Release Date : 2021-09-01
Handbook Of Ai Based Metaheuristics written by Anand J. Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
Official Gazette Of The United States Patent And Trademark Office
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Author :
language : en
Publisher:
Release Date : 1998
Official Gazette Of The United States Patent And Trademark Office written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Patents categories.
The Art Of Intercultural Business Communication
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Author : Bertha Du-Babcock
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-25
The Art Of Intercultural Business Communication written by Bertha Du-Babcock and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-25 with Business & Economics categories.
This book examines intercultural business communication issues and practices from a global and interdisciplinary perspective with an Asian focus, which is essential to any contemporary study on business communication. It broadens reader’s understanding of language, culture, and international business and equips them with intercultural business communication tools. The authors incorporate frameworks from business, management, and communication disciplines. The book comprises three parts. The first six chapters focus on developing theoretical frameworks and application for language, culture, and international business streams. Chapters 7 and 8 address the link-pin communication theories and practices. Link pin is the bilingual communicator standing between primary communicators and relaying messages back and forth in an interactive communication process. Chapter 9 discusses (intercultural) business communication in the digital age. The book concludes by revisiting and integrating universal theories to move toward global situational theories meeting this ever-changing intercultural environment. Approaching business communication from the individual, organizational, and industry levels, the book’s integrated conceptual framework allows readers to progress to more advanced business communication concepts in a staged way. Readers will gain an appreciation of the underlying theories of business communication and practical guidelines to apply the frameworks to meet their own commercial needs. This book is an essential guide for practitioners and researchers in today’s global business environment. It also benefits students with majors in intercultural business communication and international business.
Fundamentals
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Author : Katharina Morik
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-12-31
Fundamentals written by Katharina Morik and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Science categories.
Machine learning is part of Artificial Intelligence since its beginning. Certainly, not learning would only allow the perfect being to show intelligent behavior. All others, be it humans or machines, need to learn in order to enhance their capabilities. In the eighties of the last century, learning from examples and modeling human learning strategies have been investigated in concert. The formal statistical basis of many learning methods has been put forward later on and is still an integral part of machine learning. Neural networks have always been in the toolbox of methods. Integrating all the pre-processing, exploitation of kernel functions, and transformation steps of a machine learning process into the architecture of a deep neural network increased the performance of this model type considerably. Modern machine learning is challenged on the one hand by the amount of data and on the other hand by the demand of real-time inference. This leads to an interest in computing architectures and modern processors. For a long time, the machine learning research could take the von-Neumann architecture for granted. All algorithms were designed for the classical CPU. Issues of implementation on a particular architecture have been ignored. This is no longer possible. The time for independently investigating machine learning and computational architecture is over. Computing architecture has experienced a similarly rampant development from mainframe or personal computers in the last century to now very large compute clusters on the one hand and ubiquitous computing of embedded systems in the Internet of Things on the other hand. Cyber-physical systems’ sensors produce a huge amount of streaming data which need to be stored and analyzed. Their actuators need to react in real-time. This clearly establishes a close connection with machine learning. Cyber-physical systems and systems in the Internet of Things consist of diverse components, heterogeneous both in hard- and software. Modern multi-core systems, graphic processors, memory technologies and hardware-software codesign offer opportunities for better implementations of machine learning models. Machine learning and embedded systems together now form a field of research which tackles leading edge problems in machine learning, algorithm engineering, and embedded systems. Machine learning today needs to make the resource demands of learning and inference meet the resource constraints of used computer architecture and platforms. A large variety of algorithms for the same learning method and, moreover, diverse implementations of an algorithm for particular computing architectures optimize learning with respect to resource efficiency while keeping some guarantees of accuracy. The trade-off between a decreased energy consumption and an increased error rate, to just give an example, needs to be theoretically shown for training a model and the model inference. Pruning and quantization are ways of reducing the resource requirements by either compressing or approximating the model. In addition to memory and energy consumption, timeliness is an important issue, since many embedded systems are integrated into large products that interact with the physical world. If the results are delivered too late, they may have become useless. As a result, real-time guarantees are needed for such systems. To efficiently utilize the available resources, e.g., processing power, memory, and accelerators, with respect to response time, energy consumption, and power dissipation, different scheduling algorithms and resource management strategies need to be developed. This book series addresses machine learning under resource constraints as well as the application of the described methods in various domains of science and engineering. Turning big data into smart data requires many steps of data analysis: methods for extracting and selecting features, filtering and cleaning the data, joining heterogeneous sources, aggregating the data, and learning predictions need to scale up. The algorithms are challenged on the one hand by high-throughput data, gigantic data sets like in astrophysics, on the other hand by high dimensions like in genetic data. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are applied to program executions in order to save resources. The three books will have the following subtopics: Volume 1: Machine Learning under Resource Constraints - Fundamentals Volume 2: Machine Learning and Physics under Resource Constraints - Discovery Volume 3: Machine Learning under Resource Constraints - Applications Volume 1 establishes the foundations of this new field (Machine Learning under Resource Constraints). It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters.
Swarm Intelligence Algorithms Two Volume Set
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Author : Adam Slowik
language : en
Publisher: CRC Press
Release Date : 2021-01-26
Swarm Intelligence Algorithms Two Volume Set written by Adam Slowik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-26 with Computers categories.
Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.