An evolved recurrent neural network is proposed which automates the design of the network architecture and the connection weights using a new evolutionary learning algorithm. This new algorithm is based on a cooperati...
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ISBN:
(纸本)3540361219
An evolved recurrent neural network is proposed which automates the design of the network architecture and the connection weights using a new evolutionary learning algorithm. This new algorithm is based on a cooperative system of evolutionary algorithm (EA) and particle swarm optimization (PSO) for evolving recurrent neural network, and is thus called REAPSO. In REAPSO, the network architecture is adaptively adjusted by PSO, and then EA is employed to evolve the connection weights with this. network architecture, and this process is alternated until the best neural network is accepted or the maximum number of generations has been reached. In addition, the strategy of EAC and ET are proposed to maintain the behavioral link between a parent and its offspring, which improves the efficiency of evolving recurrent neural networks. The recurrent neural network is evolved by REAPSO are applied to a temporal sequence and the state estimation of continuous stirred tank reactor system. The performance of REAPSO is compared to TDRB, GA, PSO and HGAPSO in these recurrent networks design problems, demonstrating its superiority.
This book includes a collection of chapters on the state of art in the area of intelligent machines. This research would provide a sound basis to make autonomous systems human-like. The contributions include: an intro...
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ISBN:
(数字)9783540726968
ISBN:
(纸本)9783540726951
This book includes a collection of chapters on the state of art in the area of intelligent machines. This research would provide a sound basis to make autonomous systems human-like. The contributions include: an introduction to intelligent machines; supervisory control of multiple UAVs; intelligent autonomous UAV task allocation; UAV path planning; Dynamic path planning ; Routing in UAVS; State estimation of micro air vehicles; Architecture for soccer playing robots; Robot perception. Application engineers, scientists and researchers will find this book useful.
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edite...
ISBN:
(数字)9783540732976
ISBN:
(纸本)9783540732969
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in Hybrid Evolutionary Algorithms . This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR 06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. T...
ISBN:
(数字)9783540719861
ISBN:
(纸本)9783540719854
The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Medicine (MBR 06 China), held at Sun Yat-sen University, Guangzhou, P.R. China in July 2006. The presentations given at the conference explored how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. Some addressed the problem of model-based reasoning in technology, and stressed the issue of technological innovation and medical reasoning. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in science and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers.
Concepts have been expressed mathematically as propositions in a distributive lattice. A more comprehensive formulation is that of a generalized lattice, or category, in which the concepts are related in hierarchical ...
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ISBN:
(纸本)9783540726869
Concepts have been expressed mathematically as propositions in a distributive lattice. A more comprehensive formulation is that of a generalized lattice, or category, in which the concepts are related in hierarchical fashion by lattice-like links called concept morphisms. A concept morphism describes how an abstract concept can be used within a more specialized concept in more than one way as with "color", which can appear in "apples" as either "red", "yellow" or "green". Further, "color" appears in "apples" because it appears in "red", "yellow" or "green", which in turn appear in "apples", expressed via the composition of concept morphisms. The representation of such concept relationships in multi-regional neural networks can be expressed in category theory through the use of categories, commutative diagrams, functors, and natural trasformations. Additionally, categorical model theory expresses the possible worlds described by concepts. The analysis of morphisms between the possible worlds highlights the importance of reciprocal connections in neural networks.
Robots and autonomous agents have permeated every aspect of human life. They are not only omnipresent on the shop floors; they have pervaded our homes and are around us everywhere. Design methodologies and implementat...
ISBN:
(数字)9783540734246
ISBN:
(纸本)9783540734239
Robots and autonomous agents have permeated every aspect of human life. They are not only omnipresent on the shop floors; they have pervaded our homes and are around us everywhere. Design methodologies and implementation techniques of intelligent machines are making progress in leaps and bounds. Smart interaction, cooperation, and pro-activeness are the hallmarks of modern intelligent machines. This book deals with the theoretical and methodological aspects of incorporating intelligence in "Autonomous Robots and Agents". Challenges faced in the real world to accomplish complex tasks, which require collaborative efforts, and methods to overcome them, are detailed. Several informative articles deal with navigation, localization and mapping of mobile robots, a problem that engineers and researchers are grappling with all the time. This edited volume is targeted to present the latest state-of-the-art methodologies in Robotics. It is a compilation of the extended versions of the very best papers selected from the many that were presented at the 3rd International Conference on Autonomous Robots and Agents (ICARA 2006) which was held at Palmerston North, New Zealand from 11-14 December, 2006. Scientists and engineers who work with mobile robots will find this book very useful and stimulating.
computationalintelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. This volume presents seven chapters selected from the rapidly growing application areas of computational...
ISBN:
(数字)9783540723752
ISBN:
(纸本)9783540723745
computationalintelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. This volume presents seven chapters selected from the rapidly growing application areas of computationalintelligence to healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems. This book will serve as a useful resource for the health professionals, professors, students, and the computer scientists, who are working on or interested in learning healthcare systems, to overview the current state of the art of diverse applications of computationalintelligence to healthcare practice.
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specifi...
ISBN:
(数字)9783540694328
ISBN:
(纸本)9783540694311
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
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