نتایج جستجو برای: neuro
تعداد نتایج: 19724 فیلتر نتایج به سال:
Combining an understanding of neuro-ophthalmologic anatomy with proper imaging techniques provides a powerful method to detect lesions involving the afferent and efferent visual pathways. Precise documentation of the extent of injury within the nervous system is becoming increasingly important to assess and monitor the effect of neurologic therapies. This review will focus on those common neuro...
Granulocyte macrophage colony-stimulating factor (GM-CSF)-transduced autologous tumor cells form the basis of many immunotherapeutic strategies. We tested whether combining this approach with T-helper 1 (Th-1)-like immunostimulatory CpG oligodeoxynucleotides (CpG ODNs) would improve therapeutic efficacy in an established model of murine neuroblastoma. The weakly immunogenic Neuro-2a cell line w...
This paper presents an adaptive neuro-controller for intelligent control of non-linear dynamical system. The formed as the fuzzy selective neural net the adaptive neuro-controller on the basе of system’s state, creates the effective control signal under random perturbations. The validity and advantages of the proposed adaptive neuro-controller are demonstrated by numerical simulations. The simu...
We designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three ‘swing phase objectives’, characteristic of natural human gait. The neuro fuzzy controller is a combination of a fuzzy logic controller and a neural network, which makes the controller self tuning and adaptive. Two experiments have been perf...
The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporated into logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determining the structure of the rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the roughneuro-fuzzy classifier working in...
This paper examines several clustering methods for the structure learning in constructing efficient neuro-fuzzy systems. The structure learning establishes the internal structure (i.e., the number of term sets and fuzzyrule base generation) of a given neuro-fuzzy architecture. The fundamental ideas of existing rule generation algorithms are addressed and discussed. Performance of the neuro-fuzz...
This paper describes combined approaches of data preparation, neural network analysis, and fuzzy inferencing techniques (which we collectively call neuro-fuzzy engineering) to the problem of environmental modelling. The overall neuro-fuzzy architecture is presented, and specific issues associated with environmental modelling are discussed. A case study that shows how these techniques can be com...
1Division of Hematology/Oncology and 2Helen Diller Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA; 3Genentech, South San Francisco, CA; 4Medical Oncology, Stanford University, Stanford, CA; 5Department of Neuro-oncology, Dana-Farber Cancer Center, Boston, MA; 6Department of Neuro-oncology, Massachusetts General Hospital, Boston, MA; 7Department of Neuro-...
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