We apply evolutionary computations to Hopfield model of associative memory. Although there have been a lot of researches which apply evolutionary techniques to layered neural networks, their applications to Hopfield n...
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Self-adaptation is becoming a standard method for optimizing mutational parameters within evolutionary programming. the majority of these efforts have been applied to continuous optimization problems. this paper offer...
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this paper applies family competition to evolution strategies to solve constrained optimization problems. the family competition of Family Competition Evolution Strategy (FCES) can be viewed as a local competition inv...
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In this paper we combine the concept of evolutionary hillclimbing search withthe systematic search concept of arc revision to form a hybrid system that quickly finds solutions to static and dynamic Fuzzy Constraint T...
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Computer-aided process operations management includes tasks such as process monitoring, regulatory control, data reconciliation, unit and plant-wide optimization, process fault diagnosis, supervisory control, planning...
Computer-aided process operations management includes tasks such as process monitoring, regulatory control, data reconciliation, unit and plant-wide optimization, process fault diagnosis, supervisory control, planning and scheduling. Due to the inter-dependencies of these tasks, operations management involves coordination of these tasks in an integrated manner. the proliferation of disparate tools and techniques to carry out these different tasks imposes barriers to problem integration by fragmenting the system implementation and the solution process. Dealing with integration requires a careful choice of problem-solving paradigms, knowledge representation, search and reasoning techniques so as not to burden the individual tasks and at the same time providing a unified framework. In this course on computer integrated process operations, we addressed the nature of these operational tasks, the character of integration, the use of artificial intelligence, mathprogramming and nonlinear modeling techniques that are necessary and inevitable for achieving this integration. this course brought state-of-the-art tools and techniques and industrial speakers and case studies to the class room to educate and prepare undergraduate and graduate students in current trends in computer-integrated manufacturing in the chemical process industries.
this paper proposes a new algorithm called combined evolutionary algorithm (CEA) to train a neural network, and demonstrates its use in inducing thefinite state automata task. this algorithm evolves neural networks by...
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Approximate string matching is a sequential problem and therefore it is possible to solve it using finite automata. A nondeterministic finite automaton is constructed for string matching with k mismatches. It is shown...
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this paper discusses the design of a high clock rate (300MHz) processor. the architecture is described, and the goals for the design are explained. the performance of three processor models is evaluated using trace-dr...
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ISBN:
(纸本)9780897916608
this paper discusses the design of a high clock rate (300MHz) processor. the architecture is described, and the goals for the design are explained. the performance of three processor models is evaluated using trace-driven simulation. A cost model is used to estimate the resources required to build processors with varying sizes of on-chip memories, in both single and dual issue models. Recommendations are then made to increase the effectiveness of each of the models.
Program-synchronous exceptions, for example, breakpoints, watch points, illegal opcodes, and memory access violations, provide information about exceptional conditions, interrupting the program and vectoring to an ope...
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Multithreaded processors are used to tolerate long memory latenties. By executing threads loaded in multiple hardware contexts, an otherwise idle processor can keep busy, thus increasing its utilization. However, the ...
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