Immunocomputing
DOWNLOAD
Download Immunocomputing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Immunocomputing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Immunocomputing
DOWNLOAD
Author : Alexander O. Tarakanov
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Immunocomputing written by Alexander O. Tarakanov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
Overview This book introduces immunocomputing (Ie) as a new computing approach that replicates the principles of information processing by proteins and immune networks. It establishes a rigorous mathematical basis for IC, consistent with recent findings in immunology, and it presents various applications of IC to specific computationally intensive real-life problems. The hardware implementation aspects of the IC concept in an immunocomputer as a new kind of computing medium and its potential connections with modem biological microchips (biochips) and future biomolecular computers (biocomputers) are also discussed. All biological systems at the cellular and biomolecular levels are sophisticated mechanisms honed to perfection by millions of years of evolution, and their exploration provides inspiration for various novel concepts in science and engineering. Of these systems, however, only two types, the neural system and the immune system of the vertebrates, possess the extraordinary capabilities of "intellectual" information processing, which include memory, the ability to learn, to recognize, and to make decisions with respect to unknown situations. The potential of the natural neural system as a biological prototype of a computing scheme has already been utilized intensively in computer science through the mathematical and software models of artificial neural networks (ANN) and their hardware implementation in neural computers (see, e.g., Haykin, 1999; Wasserman, 1990).
Immunocomputing
DOWNLOAD
Author : Alexander O. Tarakanov
language : en
Publisher:
Release Date : 2014-01-15
Immunocomputing written by Alexander O. Tarakanov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Applications Of Principles Of Immunocomputing
DOWNLOAD
Author : Jason David Gibbs
language : en
Publisher:
Release Date : 2004
Applications Of Principles Of Immunocomputing written by Jason David Gibbs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Immunocomputers categories.
Immunocomputing Based Optimization For Shallow And Deep Neural Networks
DOWNLOAD
Author : Ali Al Bataineh
language : en
Publisher:
Release Date : 2021
Immunocomputing Based Optimization For Shallow And Deep Neural Networks written by Ali Al Bataineh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial immune systems categories.
This dissertation presents efficient immunocomputing methods based on the clonal selection algorithms (CSA), a class of optimization procedures inspired by the clonal selection theory of adaptive immunity to optimize the learning ability of three main classes of artificial neural networks (ANNs): (1) multi-layer perceptrons (MLPs), (2) convolutional neural networks (CNNs), and (3) long short-term memory (LSTM)-based recurrent neural networks (RNNs). The first approach of this research is an application of CSA to train MLPs with predefined shallow architectures to optimize the model parameters (weights and biases). Gradient descent is the most widely used method to train MLPs because it is flexible and mathematically elegant. However, gradient descent requires the loss functions to be differentiable, and in some cases, it might converge to a set of sub-optimal weights and biases. Thus, this dissertation proposes a CSA-based approach as a competitive alternative to address the described problems. The performance of our proposed approach is compared with other training methods: genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), and gradient descent with momentum. The comparison is benchmarked using five classification datasets: Iris Flower, Sonar, Wheat Seeds, Breast Cancer Wisconsin, and Haberman's Survival. The comparative study results show that CSA outperforms other training methods in all datasets; hence it can be employed as an effective method for training MLPs. The second proposed approach of our study is the application of CSA to discover the optimal hyperparameters of a deep CNN architecture in a fully automated manner to address image classification tasks without the necessity of expert knowledge. Most of the state-of-the-art CNN architectures are manually designed, which requires in-depth knowledge and can be time-consuming. In our second approach, the proposed methodology is evaluated on the EMNIST-Digits dataset. The results show that CSA can discover high-performance and less expensive CNN architectures in terms of the number of trainable parameters. Moreover, the EMNIST Digits dataset's optimized architecture is evaluated on other EMNIST datasets with increased data instances and classes. The results are impressive and demonstrate that the CSA finds efficient, reusable CNN architecture that can work for multiple datasets and still achieve competitive performance with the state-of-the-art. The third and final approach of the study proposes a CSA application to automatically design the architecture with optimal hyperparameters of the LSTM model for text classification tasks such as sentiment analysis and SMS spam classification. Similar to CNNs, designing LSTM's architectures requires expert domain knowledge and can be very time-consuming. The proposed methodology is evaluated on the large movie review dataset (IMDB). Furthermore, the architecture discovered by CSA for the IMDB dataset is also evaluated on the other datasets viz, Twitter US Airline Sentiment, and SMS Spam Collection. Additionally, the optimized LSTM architecture is combined with pre-determined CNN layers to achieve the same or better performance in less time and with fewer trainable parameters. For further verification and evaluation of the generalization ability and effectiveness of the proposed approach, it is compared with four machine learning algorithms widely used for text classification tasks: (1) random forest, (2) logistic regression, (3) support vector machine (SVM), (4) and multinomial naive Bayes. The results of our experiments show that the LSTM architecture automatically designed by our CSA method is more efficient, reusable and outperforms the machine learning algorithms and other models in the literature evaluated on the same three dataset. With the proposed CSA-based methods, the best CNN and LSTM architectures can be self-determined without any human intervention, making our CSA-based methods a promising approach to automatically discover optimal deep neural network architectures that provide the best performance for a given task.
Advances In Machine Learning Ii
DOWNLOAD
Author : Jacek Koronacki
language : en
Publisher: Springer
Release Date : 2009-11-27
Advances In Machine Learning Ii written by Jacek Koronacki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-27 with Computers categories.
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of exp- tise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and excepti- ally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.
Information Fusion And Geographic Information Systems
DOWNLOAD
Author : Vasily V. Popovich
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-30
Information Fusion And Geographic Information Systems written by Vasily V. Popovich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Science categories.
This volume contains the papers presented at the International Workshop “Information Fusion and Geographic Information Systems” (IF&GIS’09) held in St. Petersburg, Russia in May 2009. The workshop was organized by the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS). The workshop continues a series organised biannually, and attracts academics and industrials from a wide range of disciplines including computer science, geography, statistics, mathematics, hydrography, geomorphology, and environmental sciences. The objective of this workshop is to provide a forum for innovative research oriented towards Geographic Information Science and tech- logies and Corporate Information Systems whose close association highlight novel theoretical and practical challenges. The papers selected by the International Program Committee cover a wide range of innovative areas including ontological and semantic approaches for the representation of geographical data, geographical data monitoring, situation management and forecast, to emerging applications oriented to the maritime environment, disaster management and security threats. While traditional topics of GIS conferences are well represented and still being advanced, several new domains appear and stress the need for the development of versatile monitoring systems and decision making systems. While GIS already have a de facto standard for geographical monitoring and analysis, the papers accepted in this volume also illustrate several novel directions of application whose objective is more closely oriented to process modeling and decision making, and where the nature of the objects represented is revisited using ontological and semantic approaches.
Handbook Of Research On Artificial Immune Systems And Natural Computing Applying Complex Adaptive Technologies
DOWNLOAD
Author : Mo, Hongwei
language : en
Publisher: IGI Global
Release Date : 2009-04-30
Handbook Of Research On Artificial Immune Systems And Natural Computing Applying Complex Adaptive Technologies written by Mo, Hongwei and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Computers categories.
"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.
Artificial Immune Systems
DOWNLOAD
Author : Jon Timmis
language : en
Publisher: Springer
Release Date : 2003-11-03
Artificial Immune Systems written by Jon Timmis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-03 with Computers categories.
In many ways, our immune systems are as complex as our brains. They learn, predict, remember and adapt, protecting us from the maelstrom of pathogens that infect us daily. Computer Science frequently takes inspiration from the seemingly endless capabilities of natural systems. It should therefore be no s- prise that, like the ?eld of Arti?cial Neural Networks inspired from brains, we now have a vigorous ?eld of research known as Arti?cial Immune Systems (AIS), inspired by our own immune systems. Although still relatively new, the previous 10 years has seen the paradigm of AIS rapidly establish itself as an important biological metaphor. Researchers all over the world fruitfully exploit “immunological ideas” in many di?erent ways to provide mechanisms for tackling a wide variety of applications. In this volume we present the proceedings of ICARIS 2003, the 2nd Int- national Conference on Arti?cial Immune Systems. This was the second int- national conference entirely dedicated to the ?eld, and followed the extremely successful ?rst conference held in Canterbury, UK in 2002. The number and - versityofpapersinthisyear’sconferenceisatributetotheever-growingnumber ofresearchersinthearea,andrepresentativeofthesolidfoundationofworkthat now exists in this area. The range of topics considered is wide. For example, at one end of the spectrum we see a selection of papers providing a necessary t- oretical grounding for the ?eld. At the other end, we have an exciting range of applications to real-world problems, covering, for example, job-shop scheduling and fault detection in refrigeration systems.
Fundamentals Of Natural Computing
DOWNLOAD
Author : Leandro Nunes de Castro
language : en
Publisher: CRC Press
Release Date : 2006-06-02
Fundamentals Of Natural Computing written by Leandro Nunes de Castro and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-02 with Computers categories.
Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniqu
Software Technologies For Embedded And Ubiquitous Systems
DOWNLOAD
Author : Tony Givargis
language : en
Publisher: Springer
Release Date : 2008-09-25
Software Technologies For Embedded And Ubiquitous Systems written by Tony Givargis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-25 with Computers categories.
Embedded and ubiquitous computing systems have considerably increased their scope of application over the past few years, and they now also include missi- and business-critical scenarios. The advances call for a variety of compelling - sues, including dependability, real-time, quality-of-service, autonomy, resource constraints, seamless interaction, middleware support, modeling, veri?cation, validation, etc. The International Workshop on Software Technologies for Future Embedded and Ubiquitous Systems (SEUS) brings together experts in the ?eld of emb- ded and ubiquitous computing systems with the aim of exchanging ideas and advancing the state of the art about the above-mentioned issues. I was honored to chair the sixth edition of the workshop, which continued the tradition of past editions with high-quality research results. I was particularly pleased to host the workshop in the wonderful scenario of Capri, with its stunning views and traditions. The workshop started in 2003 as an IEEE event, and then in 2007 it became a ?agship event of the IFIP Working Group 10.2 on embedded systems. The last few editions, held in Hakodate (Japan), Vienna (Austria), Seattle (USA), Gyeongju (Korea), and Santorini (Greece), were co-located with the IEEE - ternationalSymposiumonObject/Component/Service-OrientedReal-TimeD- tributed Computing (ISORC). This year, SEUS was held as a stand-alone event for the ?rst time, and, - spite the additionalorganizationaldi?culties, it resultedina high-qualityevent, with papers from four continents (from USA, Europe, East Asia and Australia), (co-) authored and presented from senior scientists coming from academia or leading industrial research centers.