Hugh M. Cartwright – författare

Visar alla böcker från författaren . Handla med fri frakt och snabb leverans.

10 produkter

Kategorier

10 produkter

Del 11 - Oxford Chemistry Primers
Applications of Artificial Intelligence in Chemistry
AvHugh M. Cartwright
Häftad, Engelska, 1993
446 kr
Skickas inom 7-10 vardagar
It is clear that the techniques of artificial intelligence are useful for more than just the development of thinking machines; they constitute powerful problem-solving tools in their own right and expand the range of problems in science that can be tackled. AI methods can now be used on a routine basis by scientists in academic research as well as the commercial world, it is therefore vital that science students are exposed to, and understand these techniques. This is the first book to present an introduction to AI methods for science undergraduates. The examples are drawn mainly from chemistry but the book is suited to a general scientific audience wanting to know more about how computers can help to understand and interpret science.
Artificial Neural Networks
AvHugh M. Cartwright
Inbunden, Engelska, 2026
2 990 kr
Kommande
This fourth edition volume builds on the strengths of previous editions, with examples of how AI is being used in innovative ways to process, interpret, and understand biochemical and related data. Chapters cover a wide range of topics, from bacteriophage genomics, bioimage analysis, and the prediction of the properties of antibodies, to biomedical prediction, disease prevention, label-free imaging, and more. Further chapters focus on some of the AI methods themselves that lie at the heart of such applications, including machine learning and ensemble learning, biological networks, probabilistic neural networks, graph neural networks, and transformers. The emphasis throughout is on powerful methods that have been shown to be of proven value. Cutting-edge and authoritative, Artificial Neural Networks, Fourth Edition provides up-to-date information on the practical use of AI in bioscience, which and should be valuable in the planning of new bioscience projects.
Machine Learning in Chemistry
The Impact of Artificial Intelligence
AvHugh M Cartwright
Inbunden, Engelska, 2020
3 192 kr
Skickas inom 5-8 vardagar
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves.Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view.With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach.This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Nyhet
How to Use Machine Learning in Chemistry
An Introduction
AvHugh M Cartwright
E-bok
Engelska, 2026
546 kr
Läs direkt efter köp
Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?Written as a primer for anyone new to the area of machine learning, this book provides an overview of the principles that underly its use in science and discusses its use as a practical tool in research. Readers will develop an understanding of key terminology and learn about the critical factors to be taken into account when using machine learning in science.Drawing on examples from chemistry, this book covers topics including the mechanics of networks and training, representations in chemistry and solving issues with data. With a focus on practical implementation and how to ensure that your applications are robust, this is a fantastic starting point for anyone looking to incorporate machine learning into their work.
Nyhet
How to Use Machine Learning in Chemistry
An Introduction
AvHugh M Cartwright
Häftad, Engelska, 2026
664 kr
Skickas
Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?Written as a primer for anyone new to the area of machine learning, this book provides an overview of the principles that underly its use in science and discusses its use as a practical tool in research. Readers will develop an understanding of key terminology and learn about the critical factors to be taken into account when using machine learning in science.Drawing on examples from chemistry, this book covers topics including the mechanics of networks and training, representations in chemistry and solving issues with data. With a focus on practical implementation and how to ensure that your applications are robust, this is a fantastic starting point for anyone looking to incorporate machine learning into their work.
Machine Learning in Chemistry
The Impact of Artificial Intelligence
AvHugh M Cartwright
E-bok
PDF, Engelska, 2020
2 825 kr
Läs direkt efter köp
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves.
Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view.
With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach.
This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Machine Learning in Chemistry
The Impact of Artificial Intelligence
AvHugh M Cartwright
E-bok
Engelska, 2020
2 825 kr
Läs direkt efter köp
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves.
Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view.
With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach.
This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Del 120 - Studies in Fuzziness and Soft Computing
Soft Computing Approaches in Chemistry
AvHugh M. Cartwright,Les M. Sztandera
Inbunden, Engelska, 2003
1 623 kr
Skickas inom 10-15 vardagar
The contributions to this book cover a wide range of applications of Soft Computing to the chemical domain. The early roots of Soft Computing can be traced back to Lotfi Zadeh's work on soft data analysis [1] published in 1981. 'Soft Computing' itself became fully established about 10 years later, when the Berkeley Initiative in Soft Computing (SISC), an industrial liaison program, was put in place at the University of California - Berkeley. Soft Computing applications are characterized by their ability to: • approximate many different kinds of real-world systems; • tolerate imprecision, partial truth, and uncertainty; and • learn from their environment. Such characteristics commonly lead to a better ability to match reality than other approaches can provide, generating solutions of low cost, high robustness, and tractability. Zadeh has argued that soft computing provides a solid foundation for the conception, design, and application of intelligent systems employing its methodologies symbiotically rather than in isolation. There exists an implicit commitment to take advantage of the fusion of the various methodologies, since such a fusion can lead to combinations that may provide performance well beyond that offered by any single technique.
Soft Computing Approaches in Chemistry
AvLes M. Sztandera,Hugh M. Cartwright
E-bok
PDF, Engelska, 2012
2 044 kr
Läs direkt efter köp
The contributions to this book cover a wide range of applications of Soft Computing to the chemical domain. The early roots of Soft Computing can be traced back to Lotfi Zadeh''s work on soft data analysis [1] published in 1981. ''Soft Computing'' itself became fully established about 10 years later, when the Berkeley Initiative in Soft Computing (SISC), an industrial liaison program, was put in place at the University of California - Berkeley. Soft Computing applications are characterized by their ability to: • approximate many different kinds of real-world systems; • tolerate imprecision, partial truth, and uncertainty; and • learn from their environment. Such characteristics commonly lead to a better ability to match reality than other approaches can provide, generating solutions of low cost, high robustness, and tractability. Zadeh has argued that soft computing provides a solid foundation for the conception, design, and application of intelligent systems employing its methodologies symbiotically rather than in isolation. There exists an implicit commitment to take advantage of the fusion of the various methodologies, since such a fusion can lead to combinations that may provide performance well beyond that offered by any single technique.
Del 120 - Studies in Fuzziness and Soft Computing
Soft Computing Approaches in Chemistry
AvHugh M. Cartwright,Les M. Sztandera
Häftad, Engelska, 2012
1 623 kr
Skickas inom 10-15 vardagar
The contributions to this book cover a wide range of applications of Soft Computing to the chemical domain. The early roots of Soft Computing can be traced back to Lotfi Zadeh's work on soft data analysis [1] published in 1981. 'Soft Computing' itself became fully established about 10 years later, when the Berkeley Initiative in Soft Computing (SISC), an industrial liaison program, was put in place at the University of California - Berkeley. Soft Computing applications are characterized by their ability to: • approximate many different kinds of real-world systems; • tolerate imprecision, partial truth, and uncertainty; and • learn from their environment. Such characteristics commonly lead to a better ability to match reality than other approaches can provide, generating solutions of low cost, high robustness, and tractability. Zadeh has argued that soft computing provides a solid foundation for the conception, design, and application of intelligent systems employing its methodologies symbiotically rather than in isolation. There exists an implicit commitment to take advantage of the fusion of the various methodologies, since such a fusion can lead to combinations that may provide performance well beyond that offered by any single technique.

Företag, bibliotek eller offentlig verksamhet?

Hugh M. Cartwright – författare

Applications of Artificial Intelligence in Chemistry

Artificial Neural Networks

Machine Learning in Chemistry

How to Use Machine Learning in Chemistry

How to Use Machine Learning in Chemistry

Machine Learning in Chemistry

Machine Learning in Chemistry

Soft Computing Approaches in Chemistry

Soft Computing Approaches in Chemistry

Soft Computing Approaches in Chemistry

Mina sidor

Mina sidor

Hjälp

Hjälp

Om Bokus

Om Bokus

Populärt

Populärt

Inspiration

Inspiration